Abderahman Rejeb a , Alireza Abdullahi b , Karim Rejeb c , Horst Treiblmaier d,
- a Ẹka Iṣakoso ati Ofin, Oluko ti Iṣowo, University of Rome Tor Vergata, Nipasẹ Columbia, 2, Rome 00133, Italy
- b Ẹka ti Isakoso Iṣowo, Ẹka Iṣakoso, Ile-ẹkọ giga Kharazmi, 1599964511 Tehran, Iran
- c Olukọ ti Awọn sáyẹnsì ti Bizerte, University of Carthage, Zarzouna, 7021 Bizerte, Tunisia
- d Ile-iwe ti International Management, Modul University Vienna, Am Kahlenberg 1, 1190 Vienna, Austria
ALAYE ORO | ABSTRACT |
koko: Drones UAV Konge ogbin Internet ti Ohun Bibliometrics | Awọn ọkọ ayọkẹlẹ Drones, ti a tun pe ni Awọn ọkọ ayọkẹlẹ Aerial Unmanned (UAV), ti jẹri idagbasoke iyalẹnu kan ni awọn ewadun aipẹ. Ni iṣẹ-ogbin, wọn ti yipada awọn iṣe ogbin nipa fifun awọn agbẹ ni iye owo ifowopamọ nla, pọ si operational ṣiṣe, ati ki o dara ere. Ni awọn ọdun sẹhin, koko-ọrọ ti awọn drones ogbin ni ni ifojusi o lapẹẹrẹ omowe akiyesi. Nitorinaa a ṣe atunyẹwo okeerẹ ti o da lori bibliometrics lati ṣe akopọ ati ṣe agbekalẹ awọn iwe-ẹkọ ẹkọ ti o wa tẹlẹ ati ṣafihan awọn aṣa iwadii lọwọlọwọ ati awọn aaye. A lo awọn ilana bibliometric ki o ṣe itupalẹ awọn iwe ti o wa ni ayika awọn drones ogbin lati ṣe akopọ ati se ayẹwo ti tẹlẹ iwadi. Onínọmbà wa tọkasi pe oye jijin, iṣẹ-ogbin deede, ẹkọ ti o jinlẹ, ẹkọ ẹrọ, ati Intanẹẹti ti Awọn nkan jẹ awọn akọle pataki ti o ni ibatan si awọn drones ogbin. Itọkasi ajọpọ onínọmbà ṣe afihan awọn iṣupọ iwadii gbooro mẹfa ninu awọn iwe-iwe. Iwadi yii jẹ ọkan ninu awọn igbiyanju akọkọ lati ṣe akopọ iwadi drone ni iṣẹ-ogbin ati daba awọn itọnisọna iwadii iwaju. |
ifihan
Iṣẹ-ogbin ṣe aṣoju orisun ounjẹ akọkọ ti agbaye (Friha et al., 2021), ati pe o ti nkọju si awọn italaya lile nitori
jijẹ ibeere fun awọn ọja ounjẹ, aabo ounje, ati awọn ifiyesi aabo bii awọn ipe fun aabo ayika, itọju omi, ati
iduroṣinṣin (Inoue, 2020). Idagbasoke yii jẹ asọtẹlẹ lati tẹsiwaju lati igba ti iye eniyan agbaye ti pinnu lati de 9.7 bilionu nipasẹ ọdun 2050
(2019). Niwọn igba ti ogbin jẹ apẹẹrẹ olokiki julọ ti lilo omi ni kariaye, o nireti pe ibeere ounjẹ ati omi
Lilo yoo pọsi pupọ ni ọjọ iwaju ti a le rii. Pẹlupẹlu, jijẹ agbara ti awọn ajile ati awọn ipakokoropaeku
pẹlu gbigbona awọn iṣẹ-ogbin le ja si awọn italaya ayika iwaju. Bakanna, ilẹ-arable ni opin, ati awọn
nọmba awọn agbe ti n dinku ni agbaye. Àwọn ìpèníjà wọ̀nyí tẹnu mọ́ àìní fún tuntun àti àwọn ojútùú iṣẹ́ àgbẹ̀ alágbero (Elijah
et al., 2018; Friha et al., 2021; Inoue, 2020; Tzounis et al., 2017).
Iṣakojọpọ awọn imọ-ẹrọ aramada ti jẹ idanimọ bi ojutu ti o ni ileri lati koju awọn italaya wọnyi. Ogbin ọlọgbọn (Brewster et al.,
Ọdun 2017; Tang et al., 2021) ati iṣẹ-ogbin deede (Feng et al., 2019; Khanna & Kaur, 2019) ti farahan bi abajade ti iru awọn ariyanjiyan. Awọn
tele jẹ imọran gbogbogbo fun gbigba awọn imọ-ẹrọ ibaraẹnisọrọ alaye (ICT) ati awọn imotuntun gige-eti miiran ni awọn iṣẹ ogbin lati mu iṣẹ ṣiṣe ati imudara pọ si (Haque et al., 2021). Igbẹhin fojusi lori iṣakoso aaye-pato ninu eyiti a pin ilẹ si
awọn ẹya isokan, ati apakan kọọkan n gba iye deede ti igbewọle ogbin fun iṣapeye ikore irugbin nipasẹ awọn imọ-ẹrọ aramada (Feng et al., 2019; Khanna & Kaur, 2019). Awọn imọ-ẹrọ olokiki ti o ti fa akiyesi awọn ọjọgbọn ni aaye yii pẹlu Awọn Nẹtiwọọki Sensọ Alailowaya (WSNs) (J. Zheng & Yang, 2018; Y. Zhou et al., 2016), Intanẹẹti ti Awọn nkan (IoT) (Gill et al., 2017; Oun et al., 2021; Liu et al., 2019),
Awọn ilana itetisi atọwọda (AI), pẹlu ẹkọ ẹrọ ati ikẹkọ jinlẹ (Liakos et al., 2018; Parsaeian et al., 2020; Shadrin et al.,
2019), awọn imọ-ẹrọ iṣiro (Hsu et al., 2020; Jinbo et al., 2019; Zamora-Izquierdo et al., 2019), data nla (Gill et al., 2017; Tantalaki
et al., 2019), ati blockchain (PW Khan et al., 2020; Pincheira et al., 2021).
Ni afikun si awọn imọ-ẹrọ ti a mẹnuba loke, oye jijin ni a ti ka ohun elo imọ-ẹrọ pẹlu agbara giga lati ni ilọsiwaju
smati ati konge ogbin. Awọn satẹlaiti, ọkọ ofurufu ti eniyan, ati awọn drones jẹ awọn imọ-ẹrọ imọ-jinlẹ olokiki (Tsouros et al., 2019).
Awọn ọkọ ayọkẹlẹ Drones, ti a mọ si Awọn ọkọ ofurufu Unmanned Aerial Vehicles (UAVs), Awọn ọna ọkọ ofurufu ti ko ni eniyan (UAS), ati awọn ọkọ ofurufu ti o wakọ latọna jijin, jẹ ti
pataki nla bi wọn ṣe ni awọn anfani lọpọlọpọ ni afiwe pẹlu awọn imọ-ẹrọ imọ-jinlẹ miiran. Fun apẹẹrẹ, awọn drones le firanṣẹ
awọn aworan ti o ga julọ ati ti o ga ni awọn ọjọ kurukuru (Manfreda et al., 2018). Paapaa, wiwa wọn ati iyara gbigbe jẹ miiran
awọn anfani (Radoglou-Grammatikis et al., 2020). Ti a ṣe afiwe pẹlu ọkọ ofurufu, awọn drones jẹ idiyele-daradara ati irọrun lati ṣeto ati ṣetọju (Tsouros et al., 2019). Laibikita lilo ni akọkọ fun awọn idi ologun, awọn drones le ni anfani lọpọlọpọ awọn ohun elo ara ilu, fun apẹẹrẹ ni iṣakoso pq ipese (A. Rejeb, Rejeb, et al., 2021a), fun awọn idi eniyan (A. Rejeb, Rejeb, et al., 2021c), iṣẹ-ogbin ọlọgbọn, ṣiṣe iwadi ati aworan agbaye, iwe ohun-ini aṣa, iṣakoso ajalu, ati igbo ati itọju ẹranko (Panday, Pratihast, et al., 2020). Ni iṣẹ-ogbin, ọpọlọpọ awọn agbegbe ohun elo ti awọn drones wa bi wọn ṣe le ṣepọ pẹlu awọn imọ-ẹrọ aramada, awọn agbara iširo, ati awọn sensọ inu lati ṣe atilẹyin iṣakoso irugbin (fun apẹẹrẹ, maapu, ibojuwo, irigeson, iwadii ọgbin) (H. Huang et al., 2021) , Idinku ajalu, awọn eto ikilọ ni kutukutu, ẹranko igbẹ ati itoju igbo lati lorukọ diẹ (Negash et al., 2019). Bakanna, awọn drones le ni agbara ni ọpọlọpọ awọn iṣẹ ogbin, pẹlu irugbin ati abojuto idagbasoke, iṣiro ikore, igbelewọn aapọn omi, ati awọn èpo, kokoro, ati wiwa arun (Inoue, 2020; Panday, Pratihast, et al., 2020). Kii ṣe nikan ni a le lo awọn drones fun ibojuwo, iṣiro, ati awọn idi wiwa ti o da lori data ifarako wọn, ṣugbọn tun fun irigeson deede ati igbo konge, kokoro, ati iṣakoso arun. Ni awọn ọrọ miiran, awọn drones ni anfani lati fun sokiri omi ati awọn ipakokoropaeku ni iye deede ti o da lori data ayika. Awọn anfani ti awọn drones ni ogbin ni akopọ ni Tabili 1.
Awọn anfani akọkọ ti awọn drones ni ogbin.
anfaani | Awọn itọkasi (awọn) |
Ṣe ilọsiwaju akoko ati aaye awọn ipinnu oye | (Gago et al., 2015; Niu et al., 2020; Srivastava et al., 2020) |
Ṣe irọrun iṣẹ-ogbin to peye | (L. Deng et al., 2018; Kalischuk et al., 2019; Maimaitijiang et al., 2017) |
Sọri ati ofofo ti awọn irugbin | (Inoue, 2020; Kalischuk et al., 2019; Lopez- ' Granados et al., 2016; Maimaitijiang et al., 2017; Melville ati al., 2019; Moharana & Dutta, 2016) |
Lilo ajile | (L. Deng et al., 2018; Guan et al., 2019) |
Abojuto ti ogbele | (Fawcett et al., 2020; Panday, Pratihast, ati al., 2020; Su et al., 2018) |
Ifoju baomasi | (Bendig et al., 2014) |
Idiyele ikore | (Inoue, 2020; Panday, Shrestha, ati al., 2020; Tao et al., 2020) |
Idinku ajalu | (Negash et al., 2019) |
Itoju ti eda abemi egan ati igbo | (Negash et al., 2019; Panday, Pratihast, et al., 2020) |
Igbelewọn ti omi wahala | (Inoue, 2020; J. Su, Coombes, ati al., 2018; L. Zhang et al., 2019) |
Kokoro, èpo, ati arun Iwari | (Gaˇsparovi'c et al., 2020; Inoue, 2020; J. Su, Liu, et al., 2018; X. Zhang ati al., Ọdun 2019) |
Ni apa keji, awọn drones koju awọn idiwọn bi daradara. Ilowosi awaoko, agbara engine, iduroṣinṣin ati igbẹkẹle, didara sensosi nitori fifuye isanwo
awọn idiwọn iwuwo, awọn idiyele imuse, ati ilana ọkọ ofurufu, wa laarin wọn (C. Zhang & Kovacs, 2012). A ṣe afiwe awọn ailagbara
ti awọn imọ-ẹrọ imọ-jinlẹ latọna jijin alagbeka mẹta ni Tabili 2. Awọn imọ-ẹrọ imọ-jinlẹ latọna jijin miiran, gẹgẹbi awọn sensọ ile, ti kọja idojukọ ti iwadii yii.
Awọn aito ti ọpọlọpọ awọn imọ-ẹrọ imọ-jinlẹ latọna jijin alagbeka.
Latọna jijin imo | Awọn kikuru | jo |
Drone (UAV) | Pilot ilowosi; awọn aworan' didara (apapọ); owo imuse (apapọ); iduroṣinṣin, maneuverability, ati igbẹkẹle; Standardization; agbara engine; lopin agbara awọn orisun (igba pipẹ batiri); lopin flight iye, ijamba ati cyberattacks; lopin iwuwo isanwo; tobi datasets ati lopin data processing awọn agbara; aini ti ilana; aini ti ĭrìrĭ, ga titẹsi awọn idena si wiwọle si awọn drones ogbin; | (Bacco et al., 2018; Dawaliby et al., 2020; Hardin & Hardin, 2010; Hardin & Jensen, 2011; Lagkas et al., Ọdun 2018; Laliberte et al., 2007; Laliberte & Rango, 2011; Manfreda et al., 2018, 2018; Nebiker et al., 2008; Puri et al., 2017; Velusamy et al., 2022; C. Zhang & Kovacs, 2012) |
Satellite | Satẹlaiti agbegbe igbakọọkan, lopin sipekitira ipinnu; ailagbara si awọn ọran hihan (fun apẹẹrẹ, awọsanma); Aisi wiwa ati kekere gbigbe iyara; iṣalaye ati vignetting ipa leri aaye data gbigba; o lọra data ifijiṣẹ akoko lati pari awọn olumulo | (Aboutalebi et al., 2019; Cen et al., 2019; Chen et al., Ọdun 2019; Nansen & Elliott, Ọdun 2016; Panday, Pratihast, et al., 2020; Sai Vineeth et al., 2019) |
ofurufu | Awọn idiyele gbigba giga; iṣeto idiju; awọn idiyele itọju; aini ti o gbẹkẹle ofurufu, geometry ti awọn awọn aworan; ti kii-deede data akomora; aini ti irọrun; awọn ijamba iku; sensọ data awọn iyatọ nitori awọn gbigbọn; georeferencing oran | (Armstrong et al., 2011; Atkinson et al., 2018; Barbedo & Koenigkan, 2018; Kovalev & Voroshilova, 2020; Suomalainen et al., Ọdun 2013; Thamm et al., 2013) |
Gẹgẹbi imọ-ẹrọ pupọ ati multipurpose ni iṣẹ-ogbin, a ti ṣe iwadii awọn drones lati oriṣiriṣi awọn iwoye. Fun apẹẹrẹ, awọn ọjọgbọn ti ṣe ayẹwo awọn ohun elo drone ni ogbin (Kulbacki et al., 2018; Mogili & Deepak, 2018), ilowosi wọn si iṣẹ-ogbin deede (Puri et al., 2017; Tsouros et al., 2019), ibaramu wọn pẹlu miiran Awọn imọ-ẹrọ gige-eti (Al-Thani et al., 2020; Dutta & Mitra, 2021; Nayyar et al., 2020; Saha et al., 2018), ati awọn iṣeeṣe ti ilọsiwaju lilọ kiri ati awọn agbara oye (Bareth et al. , 2015; Suomalainen ati al., 2014). Niwọn igba ti iwadii lori awọn ohun elo drone ni iṣẹ-ogbin ti di ibigbogbo (Khan et al., 2021)), iwulo wa lati ṣe akopọ awọn iwe-iwe ti o wa tẹlẹ ati ṣafihan eto ọgbọn ti agbegbe naa. Pẹlupẹlu, gẹgẹbi aaye imọ-ẹrọ giga pẹlu awọn ilọsiwaju ti nlọsiwaju, awọn atunyẹwo eleto nilo lati ṣe lati ṣe akopọ lorekore awọn iwe ti o wa tẹlẹ ati ṣe idanimọ awọn ela pataki iwadi. Si
ọjọ, awọn atunyẹwo diẹ wa ti o jiroro awọn ohun elo drone ni eka ogbin. Fún àpẹrẹ, Mogili and Deepak (2018) ṣe àyẹ̀wò ṣókí àwọn ìtumọ̀ ìtumọ̀ àwọn ìtumọ̀ tí a fi ń sọ̀rọ̀ nípa ohun ọ̀gbìn àti fífúnni ní ipakokoropaeku. Inoue (2020) ṣe atunyẹwo atunyẹwo ti satẹlaiti ati lilo drone ni oye jijin ni iṣẹ-ogbin. Onkọwe ṣawari awọn italaya imọ-ẹrọ ti gbigba ogbin ọlọgbọn ati awọn ifunni ti awọn satẹlaiti ati awọn drones ti o da lori awọn iwadii ọran ati awọn iṣe ti o dara julọ. Tsouros et al. (2019) ṣe akopọ awọn oriṣi ti awọn drones ati awọn ohun elo akọkọ wọn ni iṣẹ-ogbin, ti n ṣe afihan ọpọlọpọ awọn ohun-ini data ati awọn ọna ṣiṣe. Laipẹ diẹ, Aslan et al. (2022) ṣe atunyẹwo okeerẹ ti awọn ohun elo UAV ni awọn iṣẹ ogbin ati tẹnumọ ibaramu ti agbegbe nigbakanna ati aworan agbaye fun UAV kan ninu eefin. Diaz-Gonzalez et al. (2022) ṣe atunyẹwo awọn ijinlẹ aipẹ ti iṣelọpọ irugbin na ti o da lori oriṣiriṣi awọn imọ-ẹrọ ikẹkọ ẹrọ ati latọna jijin
oye awọn ọna šiše. Awọn awari wọn fihan pe awọn UAV wulo lati ṣe iṣiro awọn afihan ile ati ju awọn ọna ṣiṣe satẹlaiti lọ ni awọn ofin ti ipinnu aaye, akoko alaye, ati irọrun. Basiri et al. (2022) ṣe atunyẹwo pipe ti awọn ọna pupọ ati awọn ọna lati bori awọn italaya igbero ipa-ọna fun awọn UAV pupọ-rotor ni aaye ti ogbin pipe. Pẹlupẹlu, Awais et al. (2022) ṣe akopọ ohun elo ti data oye latọna jijin UAV ninu awọn irugbin lati ṣe iṣiro ipo omi ati pese iṣelọpọ jinlẹ ti agbara ifojusọna ti oye jijin UAV fun ohun elo wahala apanirun. Níkẹyìn, Aquilani et al. (2022) ṣe atunyẹwo awọn imọ-ẹrọ ogbin ti iṣaju ti a lo ni awọn eto ẹran-ọsin ti o da lori papa ati yọkuro pe oye jijin ti o ṣiṣẹ nipasẹ awọn UAV jẹ anfani fun igbelewọn baomasi ati iṣakoso agbo.
Paapaa, awọn igbiyanju lati lo awọn UAV ni ibojuwo, ipasẹ, ati ikojọpọ ẹran-ọsin ti jẹ ijabọ laipẹ.
Botilẹjẹpe awọn atunwo wọnyi funni ni awọn oye tuntun ati pataki, ko si okeerẹ ati atunyẹwo imudojuiwọn-ti o da lori awọn iwe-ẹkọ bibliometric ni a le rii ninu awọn iwe-iwe, eyiti o ṣafihan aafo oye ti o han gbangba. Pẹlupẹlu, o ti sọ pe nigbati iṣelọpọ ọmọ ile-iwe ba dagba ni agbegbe imọ-jinlẹ, o di pataki fun awọn oniwadi lati lo awọn ọna atunyẹwo pipo lati loye eto imọ ti agbegbe naa (Rivera & Pizam, 2015). Bakanna, Ferreira et al. (2014) jiyan pe bi awọn aaye iwadii ti dagba ati di intricate, awọn ọjọgbọn yẹ ki o ṣe ifọkansi lati ni oye lẹẹkọọkan ti imọ ti ipilẹṣẹ ati pejọ lati ṣafihan awọn ifunni tuntun, mu awọn aṣa aṣawakiri ati awọn aṣa, ṣe idanimọ iru awọn akọle wo ni ikẹkọ, ati jinlẹ sinu eto imọ ti aaye ati awọn itọnisọna iwadi ti o pọju. Lakoko ti Raparelli ati Bajocco (2019) ṣe iwadii itusilẹ bibliometric kan lati ṣe ayẹwo agbegbe imọ ti awọn ohun elo drone ni iṣẹ-ogbin ati igbo, iwadi wọn nikan ṣe akiyesi iwadii ọmọ ile-iwe ti a tẹjade laarin 1995 ati 2017, eyiti ko ṣe afihan awọn agbara ti agbegbe gbigbe iyara yii. Siwaju sii, awọn onkọwe ko gbiyanju lati ṣe idanimọ awọn ifunni ti o ni ipa julọ ni aaye, ṣajọpọ awọn iwe-iwe, ati ṣe iṣiro igbekalẹ ọgbọn nipa lilo itupalẹ ijumọsọrọpọ. Bi abajade, o jẹ dandan lati ṣe akopọ awọn iwe-iwe lati ṣafihan awọn ifọkansi iwadii lọwọlọwọ, awọn aṣa, ati awọn aaye.
Lati kun aafo imọ yii, a lo awọn ilana pipo ati awọn ọna bibliometric lile lati ṣayẹwo ipo iwadii lọwọlọwọ ni ikorita ti awọn drones ati ogbin. A jiyan pe iwadii lọwọlọwọ ṣe ọpọlọpọ awọn ifunni si awọn iwe ti o wa tẹlẹ nipa ṣiṣe ayẹwo imọ-ẹrọ ti n yọ jade eyiti o nilo pupọ ni iṣẹ-ogbin bi o ti n pese agbara nla lati paarọ awọn aaye pupọ ni eka yii. Iwulo fun itupalẹ bibliometric ti awọn drones ogbin jẹ oye paapaa diẹ sii ti a fun kaakiri ati imọ ipin lori awọn drones laarin agbegbe ogbin. Bakanna, awọn iwe ti o nii ṣe pẹlu awọn drones ogbin ni a nilo lati ṣe akojọpọ eto, ni imọran awọn ijinlẹ ti o ni ipa julọ eyiti o kọ ipilẹ ti aaye iwadii yii. Awọn iteriba ninu itupalẹ tun pẹlu ṣiṣe alaye ti awọn akori iwadii akọkọ ti o jẹ aṣoju ninu awọn iwe. Ti o ba ṣe akiyesi agbara iyipada ti imọ-ẹrọ, a ṣeduro pe itupalẹ nẹtiwọọki inijin fun awọn oye aramada nipa ṣiṣe ipinnu awọn iṣẹ ti o ni ipa ati ṣiṣafihan awọn akori nipa agbara drones fun ogbin.
Nitorinaa a tiraka lati ṣaṣeyọri awọn ibi-afẹde iwadii atẹle wọnyi:
- Idanimọ ti awọn atẹjade ti o ni ipa pẹlu awọn ifunni iyalẹnu si awọn ohun elo drone ni aaye ti ogbin.
- Pipọpọ ti awọn iwe-iwe, idanimọ ti foci iwadii, ati aworan agbaye ti awọn ikẹkọ 'igbekalẹ ọgbọn' akọkọ ti o da lori ibajọra atunmọ nipa lilo itupalẹ ifọkansi.
- Imọye ti itankalẹ ti awọn ọna asopọ ati awọn nẹtiwọọki itọka lori akoko laarin ọpọlọpọ awọn atẹjade ni aaye ati idanimọ ti awọn itọsọna iwadii iwaju ati awọn koko-ọrọ gbona.
Awọn iyokù iwe ti wa ni iṣeto gẹgẹbi atẹle: apakan 2 ṣe apejuwe ilana ati awọn igbesẹ gbigba data; apakan 3 pese awọn abajade ti awọn itupalẹ; ati apakan 4 jiroro lori awọn awari ati pari pẹlu awọn ifunni iwadii, awọn ipa, ati awọn itọsọna iwaju.
Ilana
Ninu iwadi iwadi lọwọlọwọ, a ṣe itupalẹ bibliometric lati ṣawari awọn ohun elo drone ni iṣẹ-ogbin. Ọna titobi yii ṣe afihan ilana ọgbọn ti agbegbe imọ (Arora & Chakraborty, 2021) ati ipo lọwọlọwọ, awọn koko-ọrọ gbona, ati awọn itọsọna iwadii iwaju ti o le ṣe iwadii nipasẹ lilo ọna yii (Kapoor et al., 2018; Mishra et al. , 2017; A. Rejeb, Rejeb, ati al., 2021b; A. Rejeb et al., 2021d; MA Rejeb et al., 2020). Ni gbogbogbo, itupalẹ bibliometric ṣe ayẹwo awọn iwe ti o wa tẹlẹ lati ṣe akopọ ati ṣiṣafihan awọn ilana ti o farapamọ ti ibaraẹnisọrọ kikọ ati itankalẹ ti ibawi ti o da lori awọn iṣiro ati awọn ọna mathematiki, ati pe o kan awọn ipilẹ data nla (Pritchard, 1969; Small, 1999; Tahai & Rigsby , 1998). Nipa lilo awọn bibliometrics, a nireti lati ni oye dara si awọn paradigimu ti o wa ati awọn foci iwadi ti o ṣe alabapin si agbegbe ti o da lori ibajọra (Telwall, 2008). Bibliometrics n pese awọn oye tuntun ti o ṣe atilẹyin nipasẹ agbara iwọn idiye ti ilana (Casillas & Acedo, 2007). Ọpọlọpọ awọn ọjọgbọn ti ṣe awọn ikẹkọ bibliometric tẹlẹ ni awọn agbegbe ti o jọmọ, pẹlu iṣẹ-ogbin, oye jijin, ati iyipada oni-nọmba (Armenta-Medina et al., 2020; Bouzembrak et al., 2019; A. Rejeb, Treiblmaier, et al., 2021; Wamba & Queiroz, 2021; Wang et al., 2019).
Itupalẹ itọka
Itupalẹ itọka ṣafihan ọpọlọpọ awọn oye sinu aaye iwadii ti a fun. Ni akọkọ, o ṣe iranlọwọ lati ṣafihan awọn onkọwe ti o ni ipa julọ ati awọn atẹjade ti o ṣe alabapin si aaye iwadii ti a fun ati ṣe ipa pataki (Gundolf & Filser, 2013). Ni ẹẹkeji, ṣiṣan imọ ati awọn ọna asopọ ibaraẹnisọrọ laarin awọn onkọwe le ṣii. Nikẹhin, nipa wiwa awọn ọna asopọ laarin awọn iṣẹ ti a mẹnuba ati sisọ, ọkan le ṣawari awọn iyipada ati itankalẹ ti agbegbe imọ kan ni akoko pupọ (Pournader)
ati al., 2020). Awọn nọmba itọka giga ti atẹjade kan ṣe afihan ibaramu rẹ ati awọn ilowosi pataki si agbegbe iwadii (Baldi, 1998; Gundolf & Filser, 2013; Marinko, 1998). Itupalẹ itọka ti awọn atẹjade tun ṣe iranlọwọ lati ṣe idanimọ awọn iṣẹ ti o yẹ ati tọpa gbaye-gbale ati ilọsiwaju wọn lori akoko.
Onínọmbà àjọ-itọkasi iwe
Iṣiro-itumọ jẹ ọna ti o niyelori lati ṣawari awọn ibatan laarin awọn atẹjade ati ṣe afihan ilana ọgbọn ti aaye kan (Nerur et al., 2008). Ni awọn ọrọ miiran, nipa idamo awọn atẹjade ti a tọka julọ ati awọn asopọ wọn, ọna ti ṣe akojọpọ awọn atẹjade sinu awọn iṣupọ iwadii ọtọtọ ninu eyiti awọn atẹjade ninu iṣupọ kan pin awọn imọran kanna nigbagbogbo (McCain, 1990; Small, 1973). O ṣe pataki lati darukọ pe ibajọra ko tumọ si pe awọn awari ti awọn atẹjade jẹ
cohesive ati ki o gba pẹlu kọọkan miiran; Awọn atẹjade jẹ ti iṣupọ kanna nitori ibajọra koko, ṣugbọn wọn le ni awọn oju-iwoye ti o tako.
Gbigba data ati onínọmbà
Ni atẹle ilana ti a dabaa nipasẹ White ati Griffith (1981), a ṣe wiwa okeerẹ ti awọn nkan akọọlẹ lati bo gbogbo agbegbe iwadi ti awọn ohun elo drone ni iṣẹ-ogbin, ni ṣiṣe awọn igbesẹ marun wọnyi:
- Igbesẹ akọkọ jẹ gbigba data. A yan Scopus gẹgẹbi ọkan ninu awọn okeerẹ julọ ati awọn apoti isura data igbẹkẹle pẹlu awọn abajade idiwọn. Awọn meta-data ti awọn atẹjade ti o ni ibatan si gbogbo awọn ohun elo drone ni iṣẹ-ogbin ni a gba pada. Lẹhinna a ṣe itupalẹ awọn nkan ti a yan, yọkuro awọn nkan ti koko-ọrọ kuro ninu itupalẹ.
- A ṣe itupalẹ awọn iwe-iwe ati ṣe idanimọ awọn koko-ọrọ pataki julọ ti a lo ni agbegbe iwadii.
- Lilo itupale itọka, a ṣawari asopọ laarin awọn onkọwe ati awọn iwe aṣẹ lati ṣafihan awọn ilana itọka abẹlẹ. A tun ṣe idanimọ awọn onkọwe ti o ni ipa julọ ati awọn atẹjade pẹlu awọn ifunni pataki si aaye ti awọn drones ogbin.
- A ṣe ìtúpalẹ̀ ìtumọ̀-ọ̀rọ̀-ìsọ̀rọ̀-ọ̀rọ̀-ìsọ̀rọ̀-ọ̀rọ̀-ìsọ̀rọ̀-ọ̀rọ̀-ọ̀rọ̀-ìsọ̀rọ̀-ọ̀rọ̀-ìsọ̀rọ̀-ọ̀rọ̀-ìsọ̀rọ̀-ọ̀rọ̀-ìsọ̀rọ̀-ìsọ̀rọ̀-ìsọ̀rọ̀-ọ̀rọ̀-ìsọ̀rọ̀-ìsọ̀rọ̀) láti ṣàkópọ̀ àwọn atẹ̀jáde tí ó jọra sínú ìdìpọ̀.
- Nikẹhin, a ṣe itupalẹ awọn asopọ ati awọn ọna asopọ laarin awọn orilẹ-ede, awọn ile-iṣẹ, ati awọn iwe iroyin lati ṣe afihan nẹtiwọọki ifowosowopo.
Idanimọ awọn ofin wiwa ti o yẹ
A lo awọn okun wiwa wọnyi fun ikojọpọ data: (drone* TABI “ọkọ ayọkẹlẹ eriali ti ko ni eniyan” TABI uav* TABI “eto ọkọ ofurufu ti ko ni eniyan”” TABI uas TABI “ọkọ ofurufu ti o wa ni jijin”) ATI (ogbin TABI oko TABI agbe TABI agbe). Iwadi naa ni a ṣe ni Oṣu Kẹsan ọdun 2021. Drones ni ọpọlọpọ awọn orukọ, pẹlu UAV, UAS, ati ọkọ ofurufu ti o wa latọna jijin (Sah et al., 2021). Awọn ọrọ wiwa kan pato ti o jọmọ iṣẹ-ogbin ni a damọ da lori iwadi ti Abdollahi et al. (2021). Fun idi ti wípé ati akoyawo, ibeere gangan ti a lo ni a fun ni Afikun 1. Ni atẹle ilana mimọ data kan, a ṣẹda faili ọrọ kan ti o ti kojọpọ nigbamii sinu BibExcel, ohun elo ti o wọpọ fun itọka ati itupalẹ asọye. Ọpa yii tun nfunni ni ibaraenisepo rọrun pẹlu sọfitiwia miiran ati pe o funni ni alefa pataki ti ominira ni mimu data ati itupalẹ. VOSviewer version 1.6.16 ni a lo lati wo awọn awari ati ṣe ipilẹṣẹ awọn nẹtiwọki bibliometric (Eck & Waltman, 2009). VOSviewer nfunni ni iwọn iwoye inu inu, pataki fun itupalẹ awọn maapu bibliometric (Geng et al., 2020). Pẹlupẹlu, o ṣe iranlọwọ ni pipese awọn abajade wiwo itele ti o ṣe iranlọwọ ni oye awọn abajade to dara julọ (Abdollahi et al., 2021). Lilo awọn okun wiwa bi a ti sọ loke, a kojọ ati tọju gbogbo awọn atẹjade ti o yẹ. Awọn abajade wiwa akọkọ ti mu apapọ awọn iwe aṣẹ 5,085 jade. Lati rii daju pe didara ayẹwo ti a yan, awọn iwe akọọlẹ ti a ṣe ayẹwo awọn ẹlẹgbẹ nikan ni a ṣe ayẹwo ninu iwadi naa, ti o mu ki o yọkuro awọn iru iwe miiran, gẹgẹbi awọn iwe, awọn ipin, awọn apejọ apejọ, ati awọn akọsilẹ akọsilẹ. Lakoko ilana ṣiṣe ayẹwo, ko ṣe pataki (ie, kọja ipari iṣẹ yii), laiṣe (ie, awọn ẹda-ẹda ti o wa lati atọka ilọpo meji), ati awọn atẹjade ti kii ṣe Gẹẹsi ni a yọ jade. Ilana yii yorisi ifisi awọn iwe aṣẹ 4,700 ni itupalẹ ikẹhin.
Awari ati fanfa
Lati bẹrẹ, a ṣe atupale awọn idagbasoke ni igbejade atẹjade ni awọn iwe lọwọlọwọ lori awọn drones ogbin. Pinpin igba diẹ ti iwadii awọn ọmọ ile-iwe jẹ afihan ni aworan 1. A rii ilosoke iyara ninu awọn atẹjade lati ọdun 2011 (awọn atẹjade 30) siwaju; nitorina, a pinnu lati pin akoko itupalẹ si awọn ipele oriṣiriṣi meji. A tọka si akoko laarin 1990 ati 2010 bi ipele kikọ, eyiti o ni aijọju awọn iwe meje ti a tẹjade ni ọdọọdun. Akoko lẹhin-2010 ni a ti pe ni ipele idagbasoke lati igba ti iwadii lori awọn ohun elo drone ni iṣẹ-ogbin ti jẹri iṣẹ-ajinde kan ni asiko yii. Lẹhin ọdun 2010, nọmba ti o pọ si ti awọn atẹjade jẹrisi iwulo ti ndagba laarin awọn oniwadi, eyiti o tun ṣe afihan pe a ti lo awọn drones si oye latọna jijin ati lo ninu iṣẹ-ogbin deede (Deng et al., 2018; Maes & Steppe, 2019; Messina & Modica, 2020 ). Ni pataki, nọmba awọn atẹjade dide lati 108 ni ọdun 2013 si 498 ni ọdun 2018 ati pe o pọ si ni 1,275 ni ọdun 2020. Apapọ awọn nkan 935 ni a tẹjade laarin Oṣu Kini ati aarin Oṣu Kẹsan 2021. Lẹhinna, a yan lati dojukọ itupalẹ wa diẹ sii lori ipele idagbasoke idagbasoke. niwon asiko yi tan imọlẹ awọn julọ to šẹšẹ ati ki o pataki subtleties ti ogbin drones.
Koko onínọmbà
Awọn onkọwe awọn koko-ọrọ ti o yan fun ikede kan ni ipa pataki lori bii iwe naa ṣe jẹ aṣoju ati bii o ṣe n sọ laarin awọn agbegbe imọ-jinlẹ. Wọn ṣe idanimọ awọn koko-ọrọ pataki ti iwadii naa ati pinnu agbara rẹ lati gbilẹ tabi kuna (Ọjọ & Gastel, 1998.; Kim et al., 2016; Uddin et al., 2015). Ṣiṣayẹwo awọn ọrọ-ọrọ, ohun elo kan lati ṣafihan awọn aṣa iwadii gbooro ati awọn itọnisọna, tọka si akopọ ti awọn koko-ọrọ ti gbogbo awọn atẹjade ti o jọmọ ni agbegbe kan (Dixit & Jakhar, 2021). Ninu iwadi lọwọlọwọ, a pin awọn koko-ọrọ ti a kojọpọ si awọn eto meji (ie, titi di ọdun 2010 ati 2011–2021) lati ṣawari awọn akọle olokiki julọ. Nipa ṣiṣe eyi, a le wa awọn koko-ọrọ pataki ni awọn eto mejeeji ati ni idaniloju pe a gba gbogbo data pataki. Fun ṣeto kọọkan, awọn koko-ọrọ mẹwa mẹwa ni a gbekalẹ ni Tabili 3. A yọkuro awọn aiṣedeede nipa sisọpọ awọn koko-ọrọ ti o jọmọ itumọ-ọrọ, gẹgẹbi “drone” ati “drones” tabi, bakanna, “Internet of Things” ati “IoT.”
Tabili 3 fihan pe “ọkọ ofurufu ti ko ni eniyan” jẹ koko-ọrọ nigbagbogbo ti a lo nigbagbogbo bi akawe si “drone” ati “eto eriali ti ko ni eniyan” ni awọn akoko mejeeji. Paapaa, “imọran jijin,” “ogbin deede,” ati “ogbin” wa ni ipo giga ni awọn akoko mejeeji. Ni akoko akọkọ, “ogbin deede” ni ipo karun, ati pe o wa ni ipo keji ni akoko keji, eyiti o ṣe apejuwe bii awọn drones ṣe n di pataki pupọ si iyọrisi ogbin deede bi wọn ṣe le ṣe abojuto,
wiwa, ati awọn iṣe iṣiro yiyara, din owo, ati rọrun lati ṣe ni lafiwe pẹlu imọ-jinlẹ miiran ati awọn eto orisun-ilẹ. Paapaa, wọn le fun sokiri iye deede ti titẹ sii (fun apẹẹrẹ, omi tabi awọn ipakokoropaeku) nigbati o nilo (Guo et al., 2020; Inoue, 2020; Panday, Pratihast, et al., 2020).
Akojọ awọn koko-ọrọ ti a lo nigbagbogbo.
ipo | 1990-2010 | Rárá awọn iṣẹlẹ | 2011-2021 | Rárá awọn iṣẹlẹ |
1 | unmanned eriali ti nše ọkọ | 28 | alaiṣẹ ọkọ eriali | 1628 |
2 | wiwa latọna jijin | 7 | kede agriculture | 489 |
3 | agriculture | 4 | wiwa latọna jijin | 399 |
4 | afẹfẹ afẹfẹ | 4 | drone | 374 |
5 | kede agriculture | 4 | alaiṣẹ eto eriali | 271 |
6 | unmanned eriali | 4 | agriculture | 177 |
7 | oju-iwoye sensọ | 3 | ẹkọ jinlẹ | 151 |
8 | Oríkĕ nkankikan nẹtiwọki | 2 | ẹrọ eko | 149 |
9 | adase ofurufu | 2 | eweko Ìwé | 142 |
10 | kọfi | 2 | Ayelujara ti ohun | 124 |
Ẹya ti o nifẹ si miiran ni wiwa ti awọn imọ-ẹrọ ibaramu. Ni ipele akọkọ, "Sensor Hyperspectral" ati "awọn nẹtiwọki neural" (ANN) wa laarin awọn koko-ọrọ mẹwa mẹwa. Aworan hyperspectral ṣe iyipada aworan ibile nipasẹ gbigba nọmba nla ti awọn aworan ni ọpọlọpọ awọn gigun gigun. Ni ṣiṣe bẹ, awọn sensọ le ni igbakanna gba aaye ti o dara julọ ati alaye iwoye bi a ṣe akawe si aworan iwoye pupọ, spectroscopy, ati aworan RGB (Adao ˜ et al.,
2017). Iṣẹlẹ ti “ANN” ni ipele akọkọ ati “ẹkọ jinlẹ” (DL) ati “ẹkọ ẹrọ” (ML) ni keji tumọ si pe pupọ julọ awọn iṣẹ ti a tẹjade lojutu lori idanwo agbara ti awọn imuposi AI fun drone- orisun ogbin. Botilẹjẹpe awọn drones lagbara lati fo ni ominira, wọn tun nilo ilowosi ti awaoko, eyiti o tumọ si ipele kekere ti oye ẹrọ. Sibẹsibẹ, iṣoro yii le ṣee yanju nitori ilosiwaju ti awọn imuposi AI, eyiti o le pese akiyesi ipo ti o dara julọ ati atilẹyin ipinnu adase. Ni ipese pẹlu AI, awọn drones le yago fun awọn ikọlu lakoko lilọ kiri, ilọsiwaju ile ati iṣakoso irugbin (Inoue, 2020), ati dinku iṣẹ ati aapọn fun eniyan (BK Sharma et al., 2019).
Nitori irọrun wọn ati agbara lati mu awọn oye pupọ ti data ti kii ṣe alaye, awọn ilana AI jẹ awọn ọna ti o dara lati ṣe itupalẹ awọn data ti a gbejade nipasẹ awọn drones ati awọn ọna jijin-jinna miiran ati awọn eto ipilẹ-ilẹ fun asọtẹlẹ ati ṣiṣe ipinnu (Ali et al., 2015; Inoue, 2020). Pẹlupẹlu, wiwa ti "IoT" ni akoko keji tọkasi ipa rẹ ti o han ni iṣẹ-ogbin. IoT n ṣe iyipada iṣẹ-ogbin nipa sisopọ awọn imọ-ẹrọ miiran, pẹlu drones, ML, DL, WSNs, ati data nla. Ọkan ninu awọn anfani bọtini ti imuse IoT ni agbara rẹ lati dapọ daradara ati imunadoko ọpọlọpọ awọn iṣẹ-ṣiṣe (gbigba data, itupalẹ data ati sisẹ, ṣiṣe ipinnu, ati imuse) ni akoko gidi (Elijah et al., 2018; Feng et al. , 2019; Muangprathub et al., 2019). Pẹlupẹlu, awọn drones ni a gba awọn irinṣẹ to munadoko fun yiya data pataki fun ṣiṣe iṣiro agbara eweko ati awọn ohun-ini eweko (Candiago et al., 2015). Ọpọtọ 2a ati 2b ṣe apejuwe awọn nẹtiwọọki iṣọpọ-iṣẹlẹ Koko fun awọn akoko akoko mejeeji.
Awọn onkọwe ti o ni ipa
Ni apakan yii, a pinnu awọn onkọwe ti o ni ipa ati ṣayẹwo bii awọn nẹtiwọọki itọka onkọwe ṣe le foju inu wo ati ṣeto awọn iwe lọwọlọwọ. Aworan 3 ṣe afihan iṣaju akoko ti gbogbo awọn oniwadi pẹlu nọmba ti o ga julọ ti awọn itọkasi. Iwọn awọ ṣe afihan iyatọ-ọlọgbọn ọdun ti awọn itọkasi awọn onkọwe. A ṣe ayẹwo ilana itọka ti awọn oniwadi ti o ṣe atẹjade awọn iwadii lori awọn drones ogbin nipa lilo iloro ti o kere ju awọn iwe-ọrọ 50 ati awọn atẹjade mẹwa. Jade kuro
Awọn onkọwe 12,891, nikan 115 pade ipo yii. Tabili 4 ṣe atokọ awọn onkọwe olokiki mẹwa mẹwa, lẹsẹsẹ nipasẹ nọmba ti o pọ julọ ti awọn itọkasi. Lopez- Granados F. ṣe itọsọna atokọ pẹlu awọn itọkasi 1,963, atẹle nipa Zarco-Tejada PJ pẹlu awọn itọka 1,909.
Akojọ ti awọn julọ toka onkọwe.
ayelujara | Author | ja iwe |
1 | Lopez-Granados 'F. | 1,963 |
2 | Zarco-Tejada PJ | 1,909 |
3 | Pena ˜ JM | 1,644 |
4 | Torres-S kókó J. | 1,576 |
5 | Ferere E | 1,339 |
6 | Remondino F | 1,235 |
7 | Bolten A | 1,160 |
8 | Bareth G | 1,155 |
9 | Berni JA | 1,132 |
10 | de Castro AI | 1,036 |
Nigbati o ba de si awọn atẹjade kọọkan, nkan Zhang and Kovacs (2012) ti jẹ iwadi ti a tọka julọ ti a tẹjade ni Ise-ogbin Precision. Ninu eyi, awọn onkọwe ṣe atunyẹwo ohun elo ti UAS ni iṣẹ-ogbin deede. Awọn awari ti iwadii wọn daba pe iwulo wa lati ni ilọsiwaju apẹrẹ Syeed, iṣelọpọ, iwọntunwọnsi ti georeferencing aworan, ati ṣiṣan iṣẹ igbapada alaye lati pese awọn agbe pẹlu awọn ọja ipari igbẹkẹle. Ni afikun, wọn ṣeduro ikopa si agbẹ ni agbara diẹ sii, pataki ni igbero aaye, gbigba aworan, bakanna bi itumọ data ati itupalẹ. Ni pataki, iwadi yii wa laarin akọkọ lati ṣe afihan pataki ti UAV ni aworan agbaye, aworan agbaye, wiwọn akoonu kemikali, ibojuwo wahala eweko, ati igbelewọn awọn ipa ti awọn ajile lori idagbasoke ọgbin. Awọn italaya ti o ni ibatan si imọ-ẹrọ naa tun pẹlu awọn idiyele idinamọ, agbara sensọ, iduroṣinṣin pẹpẹ ati igbẹkẹle, aini iwọntunwọnsi, ati ilana deede lati ṣe itupalẹ awọn oye data pupọ.
Itupalẹ itọka
Onínọmbà itọka duro fun iwadi ti ipa ti awọn nkan, botilẹjẹpe o ni itara si ṣiṣan (fun apẹẹrẹ, irẹwẹsi itọkasi, itọka ti ara ẹni) jẹ ọkan ninu awọn ohun elo boṣewa fun igbelewọn ipa (Osareh, 1996; A. Rejeb et al., 2022; Sarli ati al., 2010). Awọn itọka tun ṣe afihan pataki ati pataki ti awọn ilowosi awọn iwe si awọn iwe-iwe lori koko kan pato (R. Sharma et al., 2022). A ṣe itupalẹ itọka lati pinnu awọn iwadii ti o ni ipa julọ lori awọn drones ogbin ati akopọ awọn akoonu naa. Tabili 5 ṣe afihan atokọ ti awọn iwe meedogun ti o ni ipa julọ fun awọn akoko 1990–2010 ati 2011–2021. Awọn nkan nipasẹ Berni et al. (2009) b ati Austin (2010) ti jẹ itọkasi julọ lakoko 1990 ati 2010, pẹlu awọn itọka 831 ati 498, lẹsẹsẹ. Berni et al. (2009) b ṣe afihan agbara lati ṣe agbekalẹ awọn ọja isakoṣo latọna jijin nipasẹ ọkọ ofurufu UAV ti o da lori ọkọ ofurufu ti a ṣe pẹlu igbona ti ifarada ati awọn sensọ aworan iwoye pupọ. Ti a fiwera si awọn sensọ afẹfẹ ti eniyan ti aṣa, eto UAV ti o ni iye owo kekere fun iṣẹ-ogbin ni anfani lati ṣaṣeyọri awọn iṣiro afiwera ti awọn aye-aye biophysical ti awọn irugbin, ti ko ba dara julọ. Iye owo ti ifarada ati irọrun iṣiṣẹ, lẹgbẹẹ iwoye giga, aye, ati awọn ipinnu akoko ti o wa ni akoko yiyi ni iyara, mu awọn UAV ṣe deede fun ọpọlọpọ awọn ohun elo ti o nilo iṣakoso akoko-pataki, pẹlu ṣiṣe eto irigeson, ati ogbin pipe. Iwe lati Berni et al. (2009) b jẹ itọkasi gaan nitori pe o ṣe imunadoko ni imunadoko ipilẹ ẹrọ iyipo-apakan ti ko ni eniyan ati oni-nọmba ati awọn sensọ igbona pẹlu awọn ilana isọdiwọn pataki fun awọn ohun elo ogbin. Atẹjade keji ti a tọka julọ jẹ iwe ti a kọ nipasẹ Austin (2010), ẹniti o jiroro awọn UAV lati apẹrẹ, idagbasoke, ati awọn iwo imuṣiṣẹ. Ni iṣẹ-ogbin, awọn UAV ṣe atilẹyin ibojuwo irugbin nipasẹ wiwa awọn aarun ni kutukutu nipasẹ awọn iyipada awọ irugbin, irọrun gbingbin ati didin, ati abojuto ati wiwakọ agbo-ẹran.
Awọn ẹkọ ti Sullivan et al. (2007), Lumme et al. (2008), ati Gokto ¨ ǧan et al. (2010) pari awọn akojọ ti awọn oke meedogun julọ toka ohun èlò. Awọn nkan wọnyi ṣe apejuwe idagbasoke ti awọn eto orisun UAV lati ṣe atilẹyin iṣẹ-ogbin. Wọn funni ni awọn ojutu si awọn iṣoro pupọ, bii ibojuwo irugbin ati ọlọjẹ, iwo-kakiri igbo ati iṣakoso, ati atilẹyin ipinnu. Wọn tun daba ati jiroro lori agbara UAV lati mu iṣẹ ṣiṣe iṣapẹẹrẹ pọ si ati iranlọwọ awọn agbe ni ṣiṣero deede ati imunadoko
gbingbin ogbon. Awọn iwe meji ni o kọwe nipasẹ Berni (Berni et al., 2009b; Berni et al., 2009a), ti n ṣe afihan ipa pataki rẹ lori iwadii ti o jọmọ drone ogbin. Iwe lati Zarco-Tejada et al. (2014) ti wa laarin awọn ẹkọ aṣaaju-ọna lati ṣe afihan iwulo lati lo awọn aworan UAV ti o ni iye owo kekere ni titobi giga igi.
Akojọ ti awọn julọ toka awọn iwe.
ipo | Lati 1990 si 2010 | Lati 2011 si 2021 | ||
Iwe akosilẹ | ni imo | Iwe akosilẹ | ni imo | |
1 | (Berni ati al., 2009b) | 831 | (C. Zhang & Kovacs, 2012) | 967 |
2 | (Austin, ọdun 2010) | 498 | (Nex & Remondino, 2014) | 893 |
3 | (Hunt et al., 2010) | 331 | (Floreano & Igi, 2015) | 552 |
4 | (SR Herwitz et al., 2004) | 285 | (Hossein Motlagh et al., 2016) | 391 |
5 | (CCD Lelong et al., 2008) | 272 | (Shakhatreh et al., 2019) | 383 |
6 | (Berni ati al., 2009b) | 250 | (Ma et al., 2017) | 373 |
7 | (Grenzdorffer ¨ et al., 2008) | 198 | (Bendig et al., 2014) | 360 |
8 | (Hrabar ati al., 2005) | 175 | (Zarco-Tejada et al., 2014) | 347 |
9 | (Y. Huang et al., 2009) | 129 | (Apo ao et al., 2017) | 335 |
10 | (Schmale III et al., 2008) | 119 | (Honkavaara et al., 2013a) | 331 |
11 | (Abd-Elrahman ati al., 2005) | 79 | (Candiago et al., 2015) | 327 |
12 | (Techy et al., 2010) | 69 | (Xiang & Tian, 2011) | 307 |
13 | (Sullivan et al., 2007) | 51 | (Matese ati al., 2015) | 303 |
14 | (Lumme et al., 2008) | 42 | (Gago et al., 2015) | 275 |
15 | (Gokto ¨ ǧan et al., 2010) | 40 | (Aasen et al., 2015a) | 269 |
Ni akoko keji (2011-2021), iwadii nipasẹ Zhang and Kovacs (2012) ati Nex and Remondino (2014) yorisi awọn atẹjade ti a tọka nigbagbogbo. Zhang and Kovacs (2012) jiyan pe iṣẹ-ogbin to peye le ni anfani lati imuse awọn imuposi geospatial ati awọn sensosi, gẹgẹbi awọn eto alaye agbegbe, GPS, ati oye latọna jijin, lati mu awọn iyatọ ninu aaye ati mu wọn nipa lilo awọn ilana yiyan. Gẹgẹbi oluyipada ere ni iṣẹ-ogbin deede, isọdọmọ ti awọn drones ti ṣe ikede ọjọ-ori tuntun ni imọ-jinlẹ latọna jijin, irọrun akiyesi eriali, yiya data idagbasoke irugbin, awọn ipo ile, ati awọn agbegbe fifọ. Atunwo ti Zhang and Kovacs (2012) jẹ seminal niwon o funni ni imọran si awọn UAVs nipa fifihan awọn lilo ti o wa tẹlẹ ati awọn italaya ti awọn ẹrọ wọnyi ni ibojuwo ayika ati iṣẹ-ogbin deede, gẹgẹbi ipilẹ ati awọn idiwọn kamẹra, awọn italaya sisẹ data, ilowosi agbẹ, ati awọn ilana ti ọkọ ofurufu. . Ekeji
iwadi ti a tọka julọ lati Nex and Remondino (2014) ṣe atunyẹwo ipo ti aworan ti awọn UAV fun yiya, sisẹ, ati itupalẹ awọn aworan agbaye.
Iṣẹ wọn tun ṣafihan akopọ ti ọpọlọpọ awọn iru ẹrọ UAV, awọn ohun elo, ati awọn ọran lilo, ṣafihan awọn ilọsiwaju tuntun ni sisẹ aworan UAV. Ni iṣẹ-ogbin, awọn agbe le lo awọn UAV lati ṣe awọn ipinnu ti o munadoko lati ṣaṣeyọri iye owo ati ifowopamọ akoko, gba igbasilẹ iyara ati deede ti awọn ibajẹ, ati nireti awọn iṣoro to ṣeeṣe. Ni idakeji si awọn iru ẹrọ eriali ti aṣa, awọn UAV le ge awọn inawo iṣẹ ṣiṣe ati dinku eewu ti iraye si ni awọn ipo lile lakoko ti o n ṣetọju agbara pipe to gaju. Iwe wọn ṣe akopọ ọpọlọpọ awọn anfani ti UAVs, ni pataki ni awọn ofin ti deede ati ipinnu.
Lara awọn atẹjade mẹtala ti o ku julọ laarin 2011 ati 2021, a ṣe akiyesi ifọkansi nla lori iwadii ti o sopọ si awọn ohun elo drone ni awọn iṣẹ apinfunni aworan (Bendig et al., 2014; Ma et al., 2017; Zarco-Tejada et al., 2014) , iṣẹ-ogbin deede (Candiago et al., 2015; Honkavaara et al., 2013a), viticulture konge (Matese et al., 2015), iṣiro wahala omi (Gago et al., 2015), ati ibojuwo eweko (Aasen et al. , 2015a). Ni awọn ọdun akọkọ, awọn oluwadi ni idojukọ
diẹ sii lori idagbasoke idiyele kekere, iwuwo fẹẹrẹ, ati awọn eto ipilẹ UAV deede fun iṣẹ-ogbin; diẹ sii to šẹšẹ iwadi ti dojukọ diẹ sii lori awọn atunwo ti awọn ohun elo UAV fun ogbin ati iwadi aaye. Ni akojọpọ, itupalẹ yii ṣafihan pe awọn atẹjade ti o ni ipa julọ ti pese awọn atunyẹwo ti awọn iwadii iṣaaju lati ṣe iṣiro ipo imọ-jinlẹ lọwọlọwọ UAV ati ipo imọ-ẹrọ ati idagbasoke awọn eto UAV lati ṣe atilẹyin iṣẹ-ogbin deede. O yanilenu, a ko rii awọn iwadi ti o lo iṣẹ ti o ni agbara
awọn ilana tabi awọn iwadii ọran ijuwe, eyiti o jẹ aafo oye pataki ati awọn ipe fun iwadii diẹ sii lori koko yii.
Itupalẹ-itọkasi
Gẹ́gẹ́ bí Gmür (2006) ṣe sọ, ìtúpalẹ̀ ìtumọ̀ àkópọ̀ dá àwọn àtẹ̀jáde tí ó jọra mọ́ra ó sì kó wọn jọ. Ṣiṣayẹwo iṣọra ti iṣupọ le ṣafihan aaye ti o wọpọ ti iwadii laarin awọn atẹjade. A ṣe iwadii ijumọsọrọpọ ti awọn iwe ti o jọmọ si awọn drones ogbin lati ṣe apejuwe awọn agbegbe koko-ọrọ ti o jọmọ ati rii awọn ilana ọgbọn ti awọn atẹjade. Ni iyi yii, Small (1973) ṣeduro lilo itupale cocitation lati ṣe iwadi ti o ni ipa julọ ati iwadii seminal.
laarin a discipline. Lati fi opin si ṣeto si awọn nkan seminal pupọ julọ (Goyal & Kumar, 2021), a ṣeto ala-itumọ ti 25, afipamo pe awọn nkan meji gbọdọ ti tọka papọ ni awọn atokọ itọkasi ti 25 tabi diẹ sii awọn atẹjade oriṣiriṣi. A tun ṣe ikojọpọ pẹlu iwọn iṣupọ 1 ti o kere ju ati laisi ọna eyikeyi fun idapọ awọn iṣupọ kekere pẹlu awọn ti o tobi julọ. Bi abajade, awọn iṣupọ mẹfa ni ipilẹṣẹ ti o da lori ibajọra ti awọn ẹkọ ati eto ọgbọn wọn. Tabili 6 fihan pinpin awọn atẹjade ni iṣupọ kọọkan.
Iṣupọ 1: Iṣupọ yii ni awọn iwe aṣẹ mejidilogun ti a tẹjade lẹhin Awọn atẹjade inu iṣupọ yii jiroro ipa ti awọn drones ni atilẹyin abojuto ayika, iṣakoso irugbin na, ati iṣakoso igbo. Fun apẹẹrẹ, Manfreda et al. (2018) pese akopọ ti iwadii lọwọlọwọ ati awọn imuse ti UAV ni ibojuwo ilolupo ilolupo ogbin ati jiyan pe imọ-ẹrọ n funni ni agbara nla lati mu ibojuwo ayika pọ si ati dinku
aafo ti o wa laarin akiyesi aaye ati afẹfẹ mora ati oye latọna jijin aaye. Eyi le ṣee ṣe nipa fifun agbara titun fun imudara igbapada igba diẹ ati awọn oye aaye si awọn agbegbe nla ni ọna ti ifarada. Awọn UAV le ṣe akiyesi agbegbe nigbagbogbo ati firanṣẹ data abajade si oye, aarin / awọn ile-iṣẹ isọdọtun ti o ṣakoso awọn sensosi lati ṣe idanimọ awọn iṣoro iṣẹlẹ, gẹgẹbi aini arun tabi wiwa omi (Padua et al., 2017). Adao ˜ et al. (2017). Awọn sensọ ti a gbe sori UAV tun le gbe lọ ni kiakia ni awọn ipo ayika to dara lati gba igbasilẹ akoko ti data-imọ-jinlẹ (Von Bueren et al., 2015). Nipasẹ awọn UAV, awọn agbẹ ni anfani lati ṣe awọn iṣẹ ogbin inu ile nipa gbigba awọn iwọn lati ibikibi eyikeyi ni aaye onisẹpo mẹta ti awọn agbegbe agbe inu ile (fun apẹẹrẹ, awọn eefin), nitorinaa ni idaniloju iṣakoso oju-ọjọ agbegbe ati abojuto ọgbin (Roldan et al). ., 2015). Ni o tọ ti konge
iṣẹ-ogbin, awọn ipinnu iṣakoso irugbin na nilo deede, data irugbin na ti o gbẹkẹle pẹlu akoko ti o yẹ ati ipinnu aye (Gebbers & Adamchuk, 2010; Gevaert et al., 2015; Maes & Steppe, 2019). Fun idi eyi, Agüera Vega et al. (2015) lo UAV-agesin multispectral sensọ eto lati gba awọn aworan ti a sunflower irugbin nigba ti dagba akoko. Bakanna, Huang et al. (2009) ṣe akiyesi pe oye jijin ti o da lori awọn UAV le dẹrọ wiwọn awọn irugbin ati ile lati inu data iwoye ti a gba. Verger et al. (2014) ṣe agbekalẹ ati idanwo ilana kan fun ṣiṣeroro atọka agbegbe alawọ ewe (GAI) lati awọn iwọn afihan UAV ni awọn ohun elo iṣẹ-ogbin deede, ni idojukọ alikama ati awọn irugbin ifipabanilopo. Nitorinaa, awọn drones pese awọn aye tuntun fun gbigba alaye ipinlẹ irugbin pada pẹlu awọn atunyẹwo loorekoore ati ipinnu aye giga (Dong et al., 2019; Garzonio et al., 2017; H. Zheng et al., 2016).
Ikojọpọ ti awọn atẹjade ti o ni ipa lori awọn drones ogbin.
oloro | Akori gbooro | jo |
1 | Abojuto ayika, irugbin na isakoso, igbo isakoso | (Apo ao et al., 2017; Agüera Vega et al., 2015; de Castro et al., 2018; Gomez-Cand lori et al., 2014; YB Huang et al., 2013; Khanal et al., Ọdun 2017; Lopez-Granados, Ọdun 2011; Manfreda et al., 2018; P' adua et al., Ọdun 2017; Pena ˜ et al., 2013; Perez-Ortiz et al., 2015; Rasmussen et al., 2013, Ọdun 2016; Torres-S anchez et al., 2014; Torres-Sanchez, Lopez-Granados, & Pena, ˜ 2015; Verger et al., 2014; Von Bueren et al., 2015; C. Zhang & Kovacs, ọdun 2012) |
2 | Latọna phenotyping, ikore iṣiro, awoṣe dada irugbin, kika ti eweko | (Bendig et al., 2013, 2014; Geipel et al., 2014; Gnadinger ¨ & Schmidhalter, 2017; Haghighattalab et al., 2016; Holman et al., 2016; Jin et al., 2017; W. Li et al., 2016; Maimaitijiang et al., 2017; Sankaran et al., 2015; Schirmann et al., 2016; Shi et al., 2016; Yue et al., 2017; X. Zhou et al., 2017) |
3 | Aworan ti o gbona fun omi, multispectral aworan | (Baluja et al., 2012; Berni et al., 2009b; Berni et al., 2009a; Candiago et al., 2015; Gago et al., 2015; Gonzalez-Dugo ati al., 2013, 2014; Grenzdorffer ¨ et al., 2008; Khaliq et al., 2019; Matese et al., 2015; Ribeiro-Gomes et al., 2017; Santesteban et al., 2017; Uto et al., 2013) |
4 | Aworan hypersectral, spectral aworan | (Aasen et al., 2015a; Bareth et al., Ọdun 2015; Hakala et al., 2013; Honkavaara et al., 2013a; Lucieer et al., 2014; Saari et al., 2011; Suomalainen ati al., 2014) |
5 | 3D-Mapping Awọn ohun elo | (Jimenez-Brenes et al., 2017; Nex & amupu; Remondino, 2014; Salamí et al., Ọdun 2014; Torres-S Anchez, Lopez- ' Granados, Serrano, et al., 2015; Zahawi et al., 2015; Zarco-Tejada et al., 2014) |
6 | Agriculture kakiri | (SR Herwitz et al., 2004; Hunt et al., 2010; CCD Lelong et al., Ọdun 2008; Primicerio et al., 2012; Xiang & Tian, ọdun 2011) |
Pẹlupẹlu, awọn drones jẹ iwulo fun awọn iṣẹ ṣiṣe nija ni iṣẹ-ogbin, pẹlu ṣiṣe aworan igbo. Awọn aworan ti o ya nipasẹ awọn ẹrọ ti ṣe afihan iwulo wọn fun wiwa igbo ni kutukutu ni awọn aaye (de Castro et al., 2018; Jim'enez-Brenes et al., 2017; Lam et al., 2021; Lopez-Granados 'et al., 2016; Rozenberg ati al., 2021). Ni iyi yii, de Castro et al. (2018) ṣe akiyesi pe iṣọpọ ti awọn aworan UAV ati Itupalẹ Aworan Ipilẹ Nkan (OBIA) ti jẹ ki awọn oṣiṣẹ ṣiṣẹ lati bori ọran ti adaṣe adaṣe ni kutukutu ni awọn irugbin koriko akoko, eyiti o jẹ igbesẹ nla siwaju ninu iwadii igbo. Bakanna, Pena ˜ et al. (2013) tọka si pe lilo awọn aworan ipinnu aaye giga-giga lati UAV ni apapo pẹlu ilana OBIA jẹ ki o ṣee ṣe lati ṣe agbekalẹ awọn maapu igbo ni awọn irugbin agbado tete ti o le ṣee lo ni siseto imuse awọn igbese iṣakoso igbo ni akoko, iṣẹ-ṣiṣe ti o kọja agbara satẹlaiti ati awọn aworan afẹfẹ ti aṣa. Ti a fiwera si ipinya aworan tabi awọn algoridimu wiwa ohun, awọn ilana isọdi-itumọ jẹ doko diẹ sii ni awọn iṣẹ ṣiṣe maapu igbo (J. Deng et al., 2020), nitorinaa ngbanilaaye awọn agbe lati ṣe awari awọn ipo aaye, dinku awọn adanu, ati ilọsiwaju awọn eso jakejado akoko ndagba (Ramesh ati al., 2020). Pipin itumọ ti ẹkọ ti o jinlẹ le tun pese wiwọn deede ti ideri eweko lati awọn aworan eriali ti o ga (Ramesh et al., 2020; A. Zheng et al., 2022). Pelu agbara wọn fun latọna jijin
Isọdi ẹbun ti oye, awọn imọ-ẹrọ ipin atunmọ nilo iṣiro pataki ati iranti GPU ti idinamọ giga (J. Deng et al., 2020).
Da lori ẹkọ ẹrọ ati UAV, Perez-Ortiz et al. (2015) daba ọna iyaworan igbo kan lati pese awọn ilana iṣakoso igbo kan pato aaye nigbati awọn agbe gba iṣakoso igbo ti o dide ni kutukutu. Níkẹyìn, Rasmussen et al. (2013) ṣe afihan pe awọn drones n pese oye ilamẹjọ pẹlu irọrun ipinnu aye nla. Lapapọ, awọn atẹjade ti o wa ninu iṣupọ yii dojukọ lori ṣiṣawari awọn agbara ti UAV lati ṣe atilẹyin imọ-jinlẹ latọna jijin, abojuto irugbin na, ati ṣiṣe aworan igbo. Iwadi ijinle ni afikun ni a nilo lati ṣe iwadii siwaju bi awọn ohun elo drone ni ibojuwo ayika, iṣakoso irugbin na, ati aworan agbaye le ṣaṣeyọri iṣẹ-ogbin alagbero diẹ sii (Chamuah & Singh, 2019; Islam et al., 2021; Popescu et al., 2020; J Su, Liu, et al., 2018) ati koju awọn ọran iṣakoso ti imọ-ẹrọ yii ni awọn ohun elo iṣeduro irugbin (Basnet & Bang, 2018; Chamuah & Singh, 2019, 2022; Meinen & Robinson, 2021). Awọn oniwadi yẹ ki o dojukọ lori ifẹsẹmulẹ awọn wiwọn UAVcollected pẹlu awọn ilana imuṣiṣẹ daradara lati jẹki didara didara ti data ti a ṣe ilana (Manfreda et al., 2018). Pẹlupẹlu, idagbasoke ti awọn algoridimu ti o yẹ ti o ṣe idanimọ awọn piksẹli ti o ṣafihan awọn èpo ninu awọn aworan oni-nọmba ati imukuro isale ti ko ṣe pataki lakoko ti o jẹ iyaworan igbo UAV nilo (Gaˇsparovi'c et al., 2020; Hamylton et al., 2020; H. Huang et al. , 2018, 2020; Lopez- 'Granados et al., 2016). Iwadi ni afikun lori isọdọmọ ti awọn imọ-ẹrọ ipin atunmọ ni idanimọ ọgbin, ipinya ewe, ati aworan agbaye jẹ itẹwọgba (Fuentes-Pacheco et al., 2019; Kerkech et al., 2020).
Iṣiro 2. Awọn atẹjade ti o wa ninu iṣupọ yii dojukọ awọn abala pupọ ti awọn drones ogbin. Jẹmọ si phenotyping latọna jijin, Sankaran et al. (2015) ṣe atunyẹwo agbara ti lilo giga-giga, awọn aworan eriali giga-giga pẹlu awọn UAV fun iyara phenotyping ti awọn irugbin ni aaye, ati pe wọn jiyan pe, bi akawe si awọn iru ẹrọ imọ-ilẹ, awọn UAV kekere pẹlu awọn sensọ to peye pese awọn anfani pupọ. , gẹgẹbi iraye si aaye ti o rọrun, data ipinnu giga, gbigba data daradara,
awọn igbelewọn iyara ti awọn ipo idagbasoke aaye, ati awọn idiyele iṣẹ ṣiṣe kekere. Sibẹsibẹ, awọn onkọwe tun ṣe akiyesi pe ohun elo ti o munadoko ti UAV fun phenotyping aaye da lori awọn eroja ipilẹ meji, eyun, awọn ẹya UAV (fun apẹẹrẹ, ailewu, iduroṣinṣin, ipo, adase) ati awọn abuda sensọ (fun apẹẹrẹ, ipinnu, iwuwo, awọn iwọn gigun, aaye ti wiwo). Haghighattalab et al. (2016) dabaa opo opo gigun ti aworan aladaaṣe adaṣe lati gba data ipele-idite pada lati aworan UAV ati mu ilana ibisi pọ si. Holman et al. (2016) ni idagbasoke kan to ga
ọna ṣiṣe phenotyping aaye ati afihan pe UAV ni anfani lati gba didara, voluminous, data phenotypic ti o da lori aaye, ati pe ẹrọ naa munadoko fun awọn agbegbe nla ati kọja awọn ipo aaye oriṣiriṣi.
Bii iṣiro ikore jẹ nkan pataki ti alaye iyalẹnu, ni pataki nigbati o wa ni akoko, agbara wa fun awọn UAVs lati pese gbogbo awọn wiwọn aaye ati gba data didara ga daradara (Daakir et al., 2017; Demir et al., 2018 Enciso et al., 2019; Kulbacki ati al., 2018; Pudelko et al., 2012). Ni idi eyi, Jin et al. (2017) lo anfani ti awọn aworan ti o ga ti o ga ti o gba nipasẹ awọn UAVs ni awọn ipele ti o kere pupọ lati ṣe agbekalẹ ati ṣe ayẹwo ọna kan fun iṣiro iwuwo ọgbin alikama ni ipele ifarahan. Gẹgẹbi awọn onkọwe, awọn UAV bori awọn idiwọn ti awọn ọna ẹrọ rover ti o ni ipese pẹlu awọn kamẹra ati ṣe aṣoju ọna ti kii ṣe afomo lati ṣe iṣiro iwuwo ọgbin ninu awọn irugbin, gbigba awọn agbe laaye lati ṣaṣeyọri iṣelọpọ giga ti o ṣe pataki fun phenotyping aaye ominira ti ijabọ ti ile. Li et al. (2016) kojọ awọn ọgọọgọrun awọn aworan sitẹrio pẹlu ipinnu giga ga julọ nipa lilo eto orisun UAV lati ṣe iṣiro awọn aye agbado, pẹlu giga ibori ati baomasi oke-ilẹ. Níkẹyìn, Yue et al. (2017) rii pe giga irugbin na ti a pinnu lati awọn UAVs le ṣe alekun idiyele baomasi loke ilẹ (AGB).
Ọna kan lati ṣe atẹle idagbasoke irugbin jẹ imọran ti idagbasoke awọn awoṣe dada irugbin (Bendig et al., 2014, 2015; Holman et al., 2016; Panday, Shrestha, et al., 2020; Sumesh et al., 2021). Ọpọlọpọ awọn ijinlẹ ṣe afihan iṣeeṣe ti awọn aworan ti o ya lati UAV lati mu giga awọn irugbin ati ṣetọju idagbasoke wọn. Fun apẹẹrẹ, Bendig et al. (2013) ṣe apejuwe idagbasoke ti awọn awoṣe dada irugbin irugbin igba pupọ pẹlu ipinnu giga pupọ ti o kere ju 0.05 m nipa lilo UAV. Wọn pinnu lati ṣawari awọn irugbin
iyipada idagbasoke ati igbẹkẹle rẹ lori itọju irugbin na, cultivar, ati wahala. Bendig et al. (2014) lo awọn UAV lati ṣe iṣiro tuntun ati biomass gbigbẹ ti o da lori giga ọgbin ti a fa jade lati awọn awoṣe dada irugbin ati rii pe, ko dabi awọn iru ẹrọ ti afẹfẹ ati ibojuwo laser ti ilẹ, awọn aworan ti o ga lati UAVs le ṣe alekun deede ti awoṣe giga ọgbin fun idagbasoke oriṣiriṣi. awọn ipele. Ni iṣọn kanna, Geipel et al. (2014) lo awọn UAV ninu iwadi wọn lati gba awọn aworan
awọn ipilẹ data fun asọtẹlẹ ikore irugbin agbado ni awọn ipele idagbasoke oriṣiriṣi mẹta lati ibẹrẹ si aarin-akoko ati pari pe apapọ awọn awoṣe iwoye ati aye ti o da lori awọn aworan eriali ati awọn awoṣe dada irugbin jẹ ọna ti o yẹ fun asọtẹlẹ ikore agbado aarin-akoko. Nikẹhin, Gnadinger ¨ ati Schmidhalter (2017) ṣe ayẹwo IwUlO ti UAV ni pipe phenotyping ati ṣe afihan pe lilo imọ-ẹrọ yii le jẹki iṣakoso oko ati mu idanwo aaye fun ibisi ati awọn idi agronomic. Lapapọ, a ṣe akiyesi pe awọn atẹjade ni iṣupọ 2 dojukọ awọn anfani akọkọ ti UAV ni latọna jijin
phenotyping, ikore ifoju, irugbin dada modeli, ati ọgbin kika. Awọn ijinlẹ ọjọ iwaju le ma jinlẹ jinlẹ nipa idagbasoke awọn ọna tuntun fun isakoṣo latọna jijin ti o le ṣe adaṣe ati imudara sisẹ data ti oye latọna jijin (Barabaschi et al., 2016; Liebisch et al., 2015; Mochida et al., 2015; S. Zhou et al. ., 2021). Ni afikun, iṣẹ ti awọn sensọ IoT ti a gbe sori awọn UAVs ati iṣowo-pipa laarin awọn idiyele wọn, iṣẹ ṣiṣe, ati deede ti iṣiro ikore nilo lati ṣe iwadii ninu
ojo iwaju (Ju & Ọmọ, 2018a, 2018b; Xie & Yang, 2020; Yue et al., 2018). Ni ipari, iwulo wa lati ṣe agbekalẹ awọn ọna ṣiṣe aworan ti o munadoko ti o le ṣe agbejade alaye igbẹkẹle, mu iṣẹ ṣiṣe pọ si ni iṣelọpọ ogbin, ati dinku iṣẹ kika afọwọṣe ti awọn agbe (RU Khan et al., 2021; Koh et al., 2021; Lin & Guo, 2020; C. Zhang et al., 2020).
iṣupọ 3. Awọn atẹjade ti o wa ninu iṣupọ yii jiroro lori awọn oriṣiriṣi awọn ọna ṣiṣe aworan fun imọ jijin ti awọn orisun iṣẹ-ogbin ti a lo lori awọn iru ẹrọ UAV. Ni iyi yii, aworan igbona ngbanilaaye ibojuwo ti awọn iwọn otutu oju lati ṣe idiwọ ibajẹ irugbin ati rii aapọn ogbele ni kutukutu (Awais et al., 2022; García-Tejero et al., 2018; Sankaran et al., 2015; Santesteban et al., 2017; Yeom, 2021). Baluja et al. (2012) fi idi rẹ mulẹ pe lilo ti multispectral ati awọn kamẹra gbona lori ọkọ
UAV jẹ ki awọn oniwadi gba awọn aworan ti o ga ati ṣe ayẹwo ipo omi ajara. Eyi le jẹ iwulo lati ṣe agbekalẹ awọn awoṣe ṣiṣe eto omi aramada nipa lilo data imọ-jinlẹ (Baluja et al., 2012). Nitori ti awọn
lopin fifuye agbara ti UAVs, Ribeiro-Gomes et al. (2017) ṣe akiyesi isọpọ ti awọn kamẹra igbona ti ko ni itutu sinu UAVS lati pinnu aapọn omi ninu awọn ohun ọgbin, eyiti o jẹ ki iru UAV yii ṣiṣẹ daradara ati ṣiṣeeṣe ju satẹlaiti ti aṣa ti o da lori isakoṣo latọna jijin ati awọn UAV ti o ni ipese pẹlu awọn kamẹra gbona tutu. Gẹgẹbi awọn onkọwe, awọn kamẹra igbona ti ko tutu jẹ fẹẹrẹ ju awọn kamẹra ti o tutu, ti o nilo isọdiwọn ti o yẹ. Gonzalez-Dugo et al. (2014) fihan pe awọn aworan igbona ni imunadoko awọn maapu aaye aaye ti awọn itọka aapọn omi irugbin fun ṣiṣe ayẹwo ipo omi ati iwọn aapọn omi laarin ati laarin awọn ọgba-igi osan. Gonzalez-Dugo et al. (2013) ati Santesteban et al. (2017) ṣe iwadii lilo awọn aworan UAV giga ti o ga lati ṣe iṣiro ipo iyipada omi ti ọgba-ọgba iṣowo ati ọgba-ajara kan.
Aworan pupọ le pese data nla ni akawe pẹlu awọn aworan RGB ibile (Pupa, Alawọ ewe, ati Buluu) (Ad˜ ao et al., 2017; Navia et al., 2016). Awọn alaye iwoye yii, pẹlu data aaye, le ṣe iranlọwọ ni isọdi, maapu, asọtẹlẹ, asọtẹlẹ, ati awọn idi wiwa (Berni et al., 2009b). Gẹgẹbi Candiago et al. (2015), Aworan multispectral ti o da lori UAV le ṣe alabapin lọpọlọpọ si igbelewọn irugbin ati iṣẹ-ogbin deede gẹgẹbi igbẹkẹle ati awọn orisun to munadoko. Bakannaa,
Khaliq et al. (2019) ṣe lafiwe laarin satẹlaiti ati UAVbased multispectral aworan. Awọn aworan ti o da lori UAV yorisi ni pipe diẹ sii ni ṣiṣejuwe iyatọ ọgba-ajara gẹgẹbi awọn maapu agbara fun aṣoju awọn ibori irugbin. Ni kukuru, awọn nkan ti o wa ninu iṣupọ yii jiroro lori iṣakojọpọ ti gbona ati awọn sensọ aworan alapọpọ sinu awọn UAV ti ogbin. Nitorinaa, a nilo iwadii diẹ sii lati ni oye bii iwọn otutu ati aworan iwoye ṣe le ṣepọ pẹlu AI
awọn ilana (fun apẹẹrẹ, ẹkọ ti o jinlẹ) lati ṣe awari wahala ọgbin (Ampatzidis et al., 2020; Ampatzidis & Partel, 2019; Jung et al., 2021; Santesteban et al., 2017; Syeda et al., 2021). Iru awọn oye yoo ṣe iranlọwọ rii daju daradara diẹ sii ati wiwa deede bi daradara bi ibojuwo idagbasoke ọgbin, aapọn, ati phenology (Buters et al., 2019; Cao et al., 2020; Neupane & BaysalGurel, 2021; L. Zhou et al., 2020).
iṣupọ 4. Iṣupọ yii ni awọn iwe meje ti o yika ipa pataki ti aworan iwoye ati aworan iwoye ni atilẹyin awọn iṣe ogbin. Aworan hyperspectral ti fi idi ara rẹ mulẹ gẹgẹbi ọna ti o ni imọran latọna jijin ti o jẹ ki iṣiro titobi ti eto ilẹ-aye (Schaepman et al., 2009) .Lati jẹ diẹ sii kongẹ, o jẹ ki idanimọ ti awọn ohun elo dada, titobi ti awọn ifọkansi (ojulumo), ati iyansilẹ ti dada paati ti yẹ
laarin awọn piksẹli adalu (Kirsch et al., 2018; Zhao et al., 2022). Ni awọn ọrọ miiran, ipinnu iwoye ti o ga julọ ti a pese nipasẹ awọn ọna ṣiṣe hyperspectral jẹ ki awọn iṣiro deede diẹ sii ti awọn oriṣiriṣi awọn aye, gẹgẹbi awọn ohun-ini ajewewe tabi akoonu omi ewe (Suomalainen et al., 2014). Awọn oniwadi ti o wa ninu iṣupọ yii ṣe iwadii ọpọlọpọ awọn ẹya ti iru awọn eto. Lara awọn miiran, Aasen et al. (2015b) funni ni ọna alailẹgbẹ fun jijade alaye hyperspectral onisẹpo mẹta lati iwuwo fẹẹrẹ
awọn kamẹra aworan ti a lo lori awọn UAV fun ibojuwo eweko. Lucieer et al. (2014) jiroro lori apẹrẹ, idagbasoke, ati awọn iṣẹ eriali ti aramada hyperspectral UAS bii isọdiwọn, itupalẹ, ati itumọ ti data aworan ti a pejọ pẹlu rẹ. Níkẹyìn, Honkavaara et al. (2013b) ṣe agbekalẹ ọna ṣiṣe pipe fun FabryPerot awọn aworan iwoye ti o da lori interferometer ati ṣafihan lilo rẹ ni ilana iṣiro biomass fun iṣẹ-ogbin deede. Awọn ipa ọna iwaju ti o pọju fun iṣupọ lọwọlọwọ pẹlu tẹnumọ iwulo fun awọn ilọsiwaju imọ-ẹrọ ni awọn imọ-ẹrọ sensọ (Aasen et al., 2015b) ati iwulo fun iṣakojọpọ ati imudara awọn imọ-ẹrọ ibaramu, pataki data nla ati awọn itupalẹ (Ang & Seng, 2021; Radoglou -Gramatikis et al., 2020; Shakoor ati al., 2019). Ikẹhin ni pataki lati inu data ti ndagba nigbagbogbo ti ipilẹṣẹ nipasẹ awọn sensọ oriṣiriṣi ti a ṣe imuse ni iṣẹ-ogbin ọlọgbọn (C. Li & Niu, 2020; A. Rejeb et al., 2022; Y. Su & Wang, 2021).
Iṣiro 5. Awọn atẹjade inu iṣupọ yii ṣe ayẹwo awọn ohun elo 3Dmapping ti o da lori drones. Lilo awọn drones fun aworan agbaye 3D le dinku iṣẹ aaye eka ati mu iṣẹ ṣiṣe pọ si (Torres-Sanchez 'et al., 2015). Awọn nkan marun ti o wa ninu iṣupọ ni akọkọ dojukọ lori awọn ohun elo ibojuwo ọgbin. Fun apẹẹrẹ, lati gba data onisẹpo mẹta nipa agbegbe ibori, giga igi, ati iwọn didun ade, Torres-Sanchez 'et al. (2015) lo imọ-ẹrọ UAV lati ṣe agbekalẹ awọn awoṣe dada oni-nọmba ati lẹhinna itupalẹ aworan ti o da lori ohun (OBIA) awọn isunmọ. Siwaju sii, Zarco-Tejada et al. (2014) iga igi ti o ni iwọn nipa sisọpọ imọ-ẹrọ UAV ati awọn ọna atunkọ-aworan onisẹpo mẹta. Jimenez-Brenes Lopez-Granados, 'De Castro, et al. (2017) ṣe afihan ilana tuntun fun igba pupọ, ibojuwo 3D ti awọn dosinni ti awọn igi olifi nipa sisọpọ imọ-ẹrọ UAV pẹlu ilana OBIA to ti ni ilọsiwaju. Awọn ipa ọna ti o nifẹ si fun awọn iṣẹ iwaju ni iṣupọ yii pẹlu boya ilọsiwaju lọwọlọwọ
awọn ilana (Zarco-Tejada et al., 2014) fun awọn idi apẹrẹ oju-aye oni nọmba (Ajayi et al., 2017; Jaud et al., 2016), gẹgẹbi OBIA (de Castro et al., 2018, 2020; Ventura et al. , 2018), ati atunkọ fọto tabi awọn ọna aramada idagbasoke (Díaz-Varela et al., 2015; Torres-S'anchez et al., 2015).
Iṣupọ 6. Iṣupọ yii n jiroro lori ipa ti awọn drones ni iwo-kakiri ogbin. Awọn UAV le ṣe iranlowo ati bori awọn ailagbara ti satẹlaiti ati aworan ọkọ ofurufu. Fun apẹẹrẹ, wọn le pese ipinnu giga nitosi aworan akoko gidi pẹlu epo kekere tabi awọn italaya awakọ, ti o mu abajade igbagbogbo ati iwo-kakiri akoko gidi ati awọn ilọsiwaju ninu ṣiṣe ipinnu (S. Herwitz et al., 2004). Ilowosi bọtini miiran ti awọn UAV ni agbara wọn lati pese data-kan pato aaye fun iṣẹ-ogbin deede tabi ogbin kan pato aaye bi ipinnu giga wọn, data alaye nipa ọpọlọpọ awọn aye-aye jẹ ki awọn agbe le pin ilẹ si awọn ẹya isokan ati tọju wọn ni ibamu (Hunt et al. , 2010; CC Lelong et al., 2008; Primicerio et al., 2012). Iru iwo-kakiri ogbin ti o da lori UAV le ṣe atilẹyin ibojuwo aabo ounje ati ṣiṣe ipinnu (SR Herwitz et al., 2004). Lati ṣe iwadii siwaju ni iwo-kakiri ogbin, kii ṣe awọn ilọsiwaju nikan ni awọn sensosi, UAVs, ati awọn imọ-ẹrọ miiran ti o jọmọ ati ibaraẹnisọrọ wọn ati awọn ọna gbigbe data ni a nilo (Ewing et al., 2020; Shuai et al., 2019), ṣugbọn tun ṣepọ awọn drones pẹlu ọpọlọpọ awọn imọ-ẹrọ fun iṣapeye awọn iṣẹ-ṣiṣe oriṣiriṣi ni ibatan si iṣẹ-ogbin ọlọgbọn, gẹgẹbi ibojuwo, iwo-kakiri ogbin, ati ṣiṣe ipinnu, jẹ agbegbe iwadii agbara giga (Alsamhi et al., 2021; Popescu et al., 2020; Vuran et al., 2018). Ni iyi yii, IoT, WSNs, ati data nla n funni ni awọn agbara ibaramu ti o nifẹ (van der Merwe et al., 2020). Awọn idiyele imuṣe, awọn ifowopamọ idiyele, ṣiṣe agbara, ati aabo data wa laarin awọn agbegbe ti a ṣe iwadi fun iru isọpọ (Masroor et al., 2021).
Awọn orilẹ-ede ati awọn ile-ẹkọ ẹkọ
Igbesẹ ikẹhin pẹlu iwadii orilẹ-ede abinibi ati awọn ibatan ti awọn onkọwe. Nipasẹ itupalẹ yii, a ni ifọkansi lati ni oye daradara si pinpin agbegbe ti awọn alamọwe ti o ṣe alabapin si awọn ohun elo ti awọn drones ni ogbin. O jẹ akiyesi lati ṣe akiyesi iyatọ ti awọn orilẹ-ede ati awọn ile-ẹkọ ẹkọ. Lati irisi orilẹ-ede kan, AMẸRIKA, China, India, ati Italia wa ni ipo oke ti atokọ ni awọn ofin ti nọmba awọn atẹjade (Table 7). Ẹlẹtiriki naa
Iwadi lori awọn drones ogbin jẹ eyiti o dojukọ ni Ariwa Amẹrika ati awọn orilẹ-ede Esia, ni pataki nitori ilowosi giga wọn ni awọn ohun elo ogbin deede. Fun apẹẹrẹ, ni AMẸRIKA, ọja ti awọn drones ogbin jẹ ifoju ni 841.9 milionu USD ni ọdun 2020, ṣiṣe iṣiro fun isunmọ 30% ti ipin ọja agbaye (ReportLinker, 2021). Ni ipo bi ọrọ-aje ti o tobi julọ ni agbaye, China ti ṣe asọtẹlẹ lati de iwọn ọja isunmọ ti 2.6 bilionu USD ni ọdun 2027. Orilẹ-ede yii n bẹbẹ fun awọn drones ogbin lati bori awọn ọran iṣelọpọ ati ṣaṣeyọri awọn eso to dara julọ, idinku iṣẹ, ati awọn igbewọle iṣelọpọ ti o kere ju. Bibẹẹkọ, isọdọmọ ti imọ-ẹrọ ni Ilu China tun jẹ idari nipasẹ awọn ifosiwewe bii iwọn olugbe ati iwulo lati ṣe tuntun ati ilọsiwaju awọn iṣe iṣakoso irugbin ti o wa tẹlẹ.
Awọn orilẹ-ede ti o ga julọ ati awọn ile-ẹkọ giga / awọn ajo ti o ṣe alabapin si
ogbin drone-jẹmọ iwadi.
ipo | Awọn orilẹ-ede |
1 | USA |
2 | China |
3 | India |
4 | Italy |
5 | Spain |
6 | Germany |
7 | Brazil |
8 | Australia |
9 | Japan |
10 | apapọ ijọba gẹẹsi |
ipo | Awọn ile-ẹkọ giga / Awọn ile-iṣẹ |
1 | Ile ẹkọ giga ti Ilu Ṣaina |
2 | Ministry of Agriculture ti awọn eniyan Republic of China |
3 | Igbimọ giga ti Awọn iwadii Sayensi |
4 | Ile-ẹkọ giga Texas A & M |
5 | Ile-ẹkọ Agricultural China |
6 | Iṣẹ Iwadi Ogbin USDA |
7 | CSIC - Instituto de Agricultura Sostenible IAS |
8 | University Purdue |
9 | National Research Council |
10 | Ile-iwe Fasiti Iwọ-oorun Guusu China |
Lati ile-ẹkọ giga ati irisi eto, Ile-ẹkọ giga ti Awọn sáyẹnsì Ilu Ṣaina gbepokini atokọ ni awọn ofin ti nọmba awọn atẹjade, atẹle nipasẹ Ile-iṣẹ ti Iṣẹ-ogbin ti Orilẹ-ede Eniyan ti China ati Consejo Superior de Investigciones Científicas. Ile-ẹkọ giga ti Kannada ti Awọn sáyẹnsì jẹ aṣoju nipasẹ awọn onkọwe Liao Xiaohan ati Li Jun; Han Wenting ṣe aṣoju Ile-iṣẹ ti Ogbin ti Orilẹ-ede Eniyan ti Ilu China; ati Consejo Superior de Investigaciones Científicas jẹ aṣoju nipasẹ Lopez-Granados, 'F. ati Pena, ˜ Josse María S. Lati AMẸRIKA, awọn ile-ẹkọ giga bii Texas A&M University ati Purdue University rii wọn.
darukọ. Awọn ile-ẹkọ giga ti o ni nọmba ti o ga julọ ti awọn atẹjade ati awọn asopọ wọn ni a fihan ni Ọpọtọ. 4. Pẹlupẹlu, atokọ yii pẹlu awọn ile-iṣẹ bii Consiglio Nazionale delle Ricerche ati Consejo Superior de Investigaciones Científicas ti o nṣiṣe lọwọ ninu iwadii imọ-jinlẹ, ṣugbọn kii ṣe awọn ile-ẹkọ ẹkọ. .
Aṣayan wa pẹlu ọpọlọpọ awọn iwe iroyin, ti o fẹrẹẹ jẹ gbogbo awọn data ti o wa. Gẹgẹbi a ṣe han ni Tabili 8, Imọ-ọna jijin pẹlu awọn ipo awọn nkan 258 ni oke, atẹle nipasẹ Iwe akọọlẹ ti oye ati Awọn eto Robotic: Imọran ati Awọn ohun elo pẹlu 126 ati Awọn kọnputa ati Itanna ni Agriculture pẹlu awọn nkan 98. Lakoko ti Imọye jijin jẹ idojukọ pupọ julọ lori ohun elo ati idagbasoke ti awọn drones, Awọn kọnputa ati Itanna ni Ise-ogbin ni akọkọ ni wiwa awọn ilọsiwaju ni ohun elo kọnputa, sọfitiwia, ẹrọ itanna, ati awọn eto iṣakoso ni iṣẹ-ogbin. Awọn ita gbangba agbegbe, gẹgẹbi IEEE Robotics ati Awọn lẹta Automation pẹlu awọn atẹjade 87 ati Wiwọle IEEE pẹlu awọn atẹjade 34, tun jẹ awọn iÿë akọkọ ni aaye naa. Awọn iÿë mẹdogun ti o ga julọ ti ṣe alabapin si awọn iwe-iwe pẹlu awọn iwe aṣẹ 959, eyiti o to 20.40% ti gbogbo awọn atẹjade. Ayẹwo iwe-itumọ iwe-akọọlẹ jẹ ki a ṣe ayẹwo pataki ati ibajọra laarin awọn atẹjade. Onínọmbà àjọ-itọkasi n mu awọn iṣupọ mẹta, bi o ṣe han ni aworan 5. Iṣiro-pupa naa ni awọn iwe-akọọlẹ gẹgẹbi Sensing jijin, Kọmputa ati Electronics ni Agriculture, Sensors,
ati International Journal of jijin Sensing. Gbogbo awọn iÿë wọnyi jẹ awọn iwe iroyin olokiki pupọ ni awọn agbegbe ti oye latọna jijin ati iṣẹ-ogbin deede. Iṣupọ alawọ ewe ni awọn iwe iroyin ti o ṣe pẹlu awọn ẹrọ-robotik, gẹgẹbi Iwe akọọlẹ ti oye ati Awọn ọna ẹrọ Robotic: Imọran ati Awọn ohun elo, IEEE Robotics ati Awọn lẹta Automation, Wiwọle IEEE, ati Drones. Awọn iÿë wọnyi julọ ṣe atẹjade awọn iwe lori adaṣe ati pe o wulo fun awọn onimọ-ẹrọ ogbin. Iṣupọ ikẹhin jẹ akoso nipasẹ awọn iwe iroyin ti o ni ibatan si agronomy ati imọ-ẹrọ ogbin, bii Agronomy ati Iwe akọọlẹ International ti Agricultural ati Imọ-ẹrọ Biological.
Awọn iwe iroyin 15 ti o ga julọ ni iwadii ti o ni ibatan drone.
ipo | Journal | ka |
1 | Ailokun jijin | 258 |
2 | Journal of oye ati Robotik Systems: Yii ati ohun elo | 126 |
3 | Awọn kọmputa ati Electronics ni Agriculture | 98 |
4 | IEEE Robotics ati Awọn lẹta Automation | 87 |
5 | sensosi | 73 |
6 | International Journal of Remote Sensing | 42 |
7 | Konge Ogbin | 41 |
8 | Drones | 40 |
9 | Agronomy | 34 |
10 | IEEE Wiwọle | 34 |
11 | International Journal of To ti ni ilọsiwaju Robotik Systems | 31 |
12 | International Journal of Agricultural ati Biological Engineering | 25 |
13 | PLOS KAN | 25 |
14 | Akosile ti Field Robotics | 23 |
15 | Biosystems Engineering | 23 |
ipari
Lakotan
Ninu iwadi yii, a ṣe akopọ ati ṣe itupalẹ awọn iwadii ti o wa lori awọn drones ogbin. Lilo ọpọlọpọ awọn imọ-ẹrọ bibliometric, a tiraka lati ni oye ti o dara julọ ti ọna ọgbọn ti iwadii ti o jọmọ drone. Ni apapọ, atunyẹwo wa nfunni ni ọpọlọpọ awọn ifunni nipasẹ idamo ati jiroro awọn koko-ọrọ ninu awọn iwe-iwe, ṣiṣafihan awọn iṣupọ imọ lakoko ti o ṣẹda awọn agbegbe ti o jọra ni aaye ti awọn drones, ti n ṣalaye iwadii iṣaaju, ati didaba awọn itọsọna iwadii iwaju. Ni isalẹ, a ṣe ilana awọn awari akọkọ ti atunyẹwo lori idagbasoke ti awọn drones ogbin:
• Awọn iwe-iwe gbogbogbo ti dagba ni kiakia ati ki o fa ifojusi nla ni ọdun mẹwa to koja, gẹgẹbi a ṣe afihan nipasẹ ilosoke ninu nọmba awọn nkan lẹhin 2012. Bi o tilẹ jẹ pe aaye imọ yii ko sibẹsibẹ lati ni idagbasoke kikun (Barrientos et al., 2011; Maes & Steppe, 2019), awọn ibeere pupọ ko ni idahun. Fun apẹẹrẹ, IwUlO ti awọn drones ni ogbin inu ile tun ṣii fun ariyanjiyan (Aslan et al., 2022; Krul et al., 2021; Rold'an et al., 2015). Idiju ti awọn iwoye aaye ati awọn ayidayida aworan ti o yatọ (fun apẹẹrẹ, awọn ojiji ati itanna) le ja si iyatọ ti o ga julọ ni kilasi (Yao et al., 2019). Paapaa ni awọn ipele iwadii nigbamii, awọn oniwadi ti nija lati pinnu awọn ero ọkọ ofurufu ti o dara julọ ni ibamu si awọn oju iṣẹlẹ pato ati didara aworan ti o nilo (Soares et al., 2021; Tu et al.,
2020).
• A ṣe akiyesi pe aaye naa ti ni ilọsiwaju lati idagbasoke awọn eto UAV ti o munadoko lati ṣafikun awọn ilana AI, gẹgẹbi imọ ẹrọ ati ẹkọ ti o jinlẹ ni apẹrẹ ti awọn drones ogbin (Bah et al., 2018; Kitano et al., 2019; Maimaitijiang et al. , 2020; Mazzia et al., 2020; Tetila ati al., 2020).
• Iwadi lori awọn drones ogbin ni pataki ti jiroro ni oye latọna jijin nipa wiwa awọn agbara ti imọ-ẹrọ ni ibojuwo ayika, iṣakoso irugbin na, ati iṣakoso igbo (iṣupọ 1) bakanna bi apanilẹrin latọna jijin ati iṣiro ikore (iṣupọ 2). Eto ti awọn ẹkọ ti o ni ipa lori awọn drones ogbin pẹlu Austin (2010), Berni et al. (2009) a, Herwitz et al. (2004), Nex and Remondino (2014), ati Zhang and Kovacs (2012). Awọn ijinlẹ wọnyi ṣe agbekalẹ ipilẹ imọran ti iwadii ti o ni ibatan drone ni aaye ti ogbin.
• Ni ibatan si ilana, a ṣe akiyesi pe pupọ julọ iwadi ti a ṣe titi di isisiyi ti jẹ boya apẹrẹ eto, imọ-ọrọ, tabi awọn ikẹkọ ti o da lori atunyẹwo (Inoue, 2020; Nex & Remondino, 2014; Per'erez-Ortiz et al. , 2015; Yao et al., 2019). A tun ṣe akiyesi aini ti agbara, agbara, ati awọn ọna ti o da lori ọran ni iṣẹ ni ṣiṣewadii awọn drones ogbin.
• Laipe, awọn koko-ọrọ ti o nii ṣe pẹlu iṣẹ-ogbin deede, awọn ilana AI, viticulture titọ, ati iṣiro aapọn omi ti fa akiyesi pataki (Espinoza et al., 2017; Gomez-Cand 'on ' et al., 2016; Matese et al., 2015; Matese & Di Gennaro, 2018, 2021; Z. Zhou et al., 2021). Ṣiṣayẹwo iṣọra ti awọn iṣupọ iwadii ni awọn akoko lọtọ meji, 1990–2010 ati 2011–2021, ṣe afihan ilọsiwaju ti igbekalẹ ọgbọn agbegbe naa. Awọn akoko lati 1990 to 2010 je awọn Kọ-soke ti aringbungbun awọn imọ ati awọn ero ti drones, eyi ti o jẹ kedere lati fanfa ti UAV oniru, idagbasoke, ati imuse. Ni akoko keji, idojukọ iwadi gbooro lori awọn ẹkọ iṣaaju, ṣiṣe igbiyanju lati ṣajọpọ awọn ọran lilo UAV ni iṣẹ-ogbin. A tun rii awọn iwadii lọpọlọpọ ti o jiroro awọn ohun elo drone ni awọn iṣẹ ṣiṣe aworan ati iṣẹ-ogbin deede.
ipo | Journal | ka |
1 | Ailokun jijin | 258 |
2 | Journal of oye ati Robotik Systems: Yii ati | 126 |
ohun elo | ||
3 | Awọn kọmputa ati Electronics ni Agriculture | 98 |
4 | IEEE Robotics ati Awọn lẹta Automation | 87 |
5 | sensosi | 73 |
6 | International Journal of Remote Sensing | 42 |
7 | Konge Ogbin | 41 |
8 | Drones | 40 |
9 | Agronomy | 34 |
10 | IEEE Wiwọle | 34 |
11 | International Journal of To ti ni ilọsiwaju Robotik Systems | 31 |
12 | International Journal of Agricultural ati Biological Engineering | 25 |
13 | PLOS KAN | 25 |
14 | Akosile ti Field Robotics | 23 |
15 | Biosystems Engineering | 22 |
lojo
Atunyẹwo bibliometric wa jẹ apẹrẹ ati ṣe pẹlu awọn ọjọgbọn, awọn agbe, awọn amoye ogbin, awọn alamọran irugbin, ati awọn apẹẹrẹ eto UAV ni lokan. Si imọ ti o dara julọ ti awọn onkọwe, eyi jẹ ọkan ninu awọn atunwo atilẹba akọkọ ti o ti ṣe igbelewọn bibliometric ti o jinlẹ ti
drone ohun elo ni ogbin. A ti ṣe atunyẹwo okeerẹ ti ara imọ yii, lilo awọn itọka ati awọn itupale itọka ti awọn atẹjade. Awọn igbiyanju wa lati ṣapejuwe eto ọgbọn ti iwadii drone tun funni ni awọn oye tuntun fun awọn ọmọ ile-iwe giga. Atunyẹwo iṣọra ti awọn koko-ọrọ ti a lo lori akoko n ṣafihan awọn aaye ibi-itọpa ati awọn agbegbe iwadii aifọwọyi ninu awọn iwe ti o jọmọ drone. Pẹlupẹlu, a ṣafihan atokọ ti awọn iwadii ti a tọka julọ lati ṣe idanimọ awọn iṣẹ iwadii ti o ni ipa julọ ti o pari ni aaye. Idanimọ ti awọn nkan ati awọn koko-ọrọ le nitorinaa pese aaye ibẹrẹ to lagbara lati ṣii ọpọlọpọ awọn ọna fun awọn ikẹkọ iwaju.
Ni pataki, a ṣafihan awọn iṣupọ ti o ṣe iyatọ awọn iṣẹ afiwera ati ṣe alaye lori awọn abajade. Awọn ijinlẹ ti a pin si ni awọn iṣupọ ṣe iranlọwọ ni agbọye eto ọgbọn ti iwadii UAV. Ni pataki, a ṣe awari aini awọn iwadii ti o ṣe iwadii awọn ifosiwewe isọdọmọ drones
ati awọn idena ninu awọn iṣẹ ogbin (wo Table 9). Awọn oniwadi ojo iwaju le koju aafo ti o pọju yii nipa ṣiṣe awọn iwadii ti o ni agbara ti o ṣe iṣiro awọn ifosiwewe isọdọmọ drones ni awọn iṣẹ agbe ti o yatọ ati awọn ipo oju-ọjọ. Pẹlupẹlu, iwadii ti o da lori iwadii ọran nipa imunadoko ti awọn drones yẹ ki o ṣe atilẹyin pẹlu data gidi lati aaye naa. Paapaa, kikopa awọn agbe ati awọn alakoso ni iwadii ẹkọ yoo jẹ anfani fun mejeeji imọ-jinlẹ ati ilọsiwaju iṣe ti iwadii drone. A tun ni anfani lati ṣe idanimọ awọn oniwadi olokiki julọ ati awọn ifunni wọn, eyiti o niyelori nitori imọye ti awọn iṣẹ apejọ aipẹ le funni ni itọsọna diẹ fun awọn igbiyanju ile-ẹkọ ọjọ iwaju.
Table 9
UAV olomo idena.
Ohun idena | Apejuwe |
Aabo data | Aabo Cyber jẹ ipenija pataki fun imuse Awọn ojutu IoT (Masroor et al., 2021). |
Interoperability ati Integration | Awọn imọ-ẹrọ oriṣiriṣi bii UAV, WSN, IoT, ati bẹbẹ lọ. yẹ ki o wa ni ese ati ki o atagba data eyi ti pọsi ipele idiju (Alsamhi et al., 2021; Popescu et al., 2020; Vuran et al., 2018). |
Awọn idiyele imuse | Eleyi jẹ pataki ni irú fun kekere agbe ati fun ṣepọ ọpọlọpọ awọn imọ-ẹrọ gige-eti ( Masroor et al., 2021). |
Laala imo ati imọran | Awọn awakọ ọkọ ofurufu ti oye ni a nilo lati ṣiṣẹ awọn UAVs. Bakannaa, imuse orisirisi Ige-eti awọn imọ-ẹrọ nilo awọn oṣiṣẹ ti oye (YB Huang et al., 2013; Tsouros et al., 2019). |
Engine Power ati ofurufu iye | Drones ko le ṣiṣẹ fun awọn wakati pipẹ ati ideri awọn agbegbe nla (Hardin & Hardin, 2010; Laliberte et al., 2007). |
Iduroṣinṣin, igbẹkẹle, ati ọgbọn | Drones ko ni iduroṣinṣin lakoko awọn ipo oju ojo buburu (Hardin & Hardin, 2010; Laliberte et al., 2007). |
Payload idiwọn ati sensosi 'didara | Drones nikan le gbe awọn ẹru to lopin si agbara ti ikojọpọ awọn sensọ didara kekere (Nebiker et al., 2008). |
ilana | Bi awọn drones le jẹ eewu bi daradara, nibẹ ni o wa àìdá awọn ilana ni diẹ ninu awọn agbegbe (Hardin & Jensen, 2011; Laliberte & Rango, 2011). |
Agbe 'imoye ati anfani | Gẹgẹbi awọn imọ-ẹrọ gige-eti miiran, awọn drones ' imuse aṣeyọri nilo oye ati paapaa wa pẹlu awọn aidaniloju (Fisher et al., 2009; Lambert et al., 2004; Stafford, ọdun 2000). |
Niwọn igba ti iwulo igbagbogbo wa lati lo awọn orisun to wa ni imudara lati mu awọn ikore pọ si, awọn agbe le lo anfani ti awọn drones lati rii daju iyara, deede, ati iwoye iye owo ti awọn aaye wọn. Imọ ẹrọ naa le ṣe atilẹyin fun awọn agbe lati pinnu ipo awọn irugbin wọn ati ṣe ayẹwo ipo omi, ipele ti pọn, awọn infestations kokoro, ati awọn iwulo ijẹẹmu. Awọn agbara oye latọna jijin ti awọn drones le pese awọn agbe pẹlu data pataki lati nireti awọn ọran ni ipele ibẹrẹ ati ṣe awọn ilowosi to dara ni kiakia. Sibẹsibẹ, awọn anfani ti imọ-ẹrọ le ṣee ṣe nikan ti a ba koju awọn italaya daradara. Ni imọlẹ ti awọn
Awọn iṣoro lọwọlọwọ nipa aabo data, awọn ọran imọ-ẹrọ sensọ (fun apẹẹrẹ, igbẹkẹle tabi deede ti awọn wiwọn), idiju ti iṣọpọ, ati awọn idiyele imuse pataki, awọn ẹkọ iwaju gbọdọ tun ṣe ayẹwo imọ-ẹrọ, eto-ọrọ, ati iṣeeṣe iṣiṣẹ ti iṣọpọ awọn drones ogbin ati gige miiran. awọn imọ-ẹrọ eti.
idiwọn
Ikẹkọ wa ni awọn idiwọn pupọ. Ni akọkọ, awọn awari jẹ ipinnu nipasẹ awọn atẹjade ti a yan fun itupalẹ ikẹhin. O jẹ nija lati mu gbogbo awọn ijinlẹ ti o ni ibatan si awọn drones ogbin, ni pataki awọn ti ko ṣe atọka ninu aaye data Scopus. Siwaju sii, ilana ikojọpọ data jẹ opin si eto awọn koko-ọrọ wiwa, eyiti o le ma jẹ ki o jẹ ki o yorisi awọn awari ti ko ni idiyele. Nitorinaa, awọn ẹkọ iwaju nilo lati san akiyesi diẹ sii si ọran ti o wa ni ipilẹ ti gbigba data lati ṣe
diẹ gbẹkẹle awọn ipinnu. Idiwọn miiran kan awọn atẹjade tuntun pẹlu nọmba kekere ti awọn itọkasi. Itupalẹ bibliometric jẹ abosi si awọn atẹjade iṣaaju bi wọn ṣe fẹ lati gba awọn itọka diẹ sii ni awọn ọdun. Awọn ijinlẹ aipẹ nilo iye akoko kan lati fa akiyesi ati ikojọpọ awọn itọkasi. Nitoribẹẹ, awọn iwadii aipẹ ti o mu ayipada paradigm kii yoo ni ipo ni awọn iṣẹ agbara mẹwa mẹwa ti o ga julọ. Idiwọn yii gbilẹ ni idanwo ti awọn agbegbe iwadii ti n yọ jade ni iyara bi awọn drones ogbin. Bi a ti ṣe kan si Scopus lati ṣe iwadi awọn iwe-iwe fun iṣẹ yii, awọn oluwadi ojo iwaju le ronu iyatọ
awọn apoti isura infomesonu, gẹgẹbi Wẹẹbu ti Imọ-jinlẹ ati IEEE Xplore, lati faagun ibi ipade ati imudara igbekalẹ iwadii.
Awọn ẹkọ bibliometric ti o pọju le gbero awọn orisun imọ pataki miiran gẹgẹbi awọn iwe apejọ, awọn ipin, ati awọn iwe lati ṣe agbekalẹ awọn oye aramada. Pelu aworan agbaye ati ṣiṣewadii awọn atẹjade agbaye lori awọn drones ogbin, awọn awari wa ko ṣafihan awọn idi ti o wa lẹhin awọn abajade ti awọn ọmọ ile-ẹkọ giga. Eyi pa ọna lọ si agbegbe aramada ti iwadii ni ṣiṣe alaye ni agbara idi ti diẹ ninu awọn ile-ẹkọ giga jẹ iṣelọpọ diẹ sii ju awọn miiran lọ nigbati o ba de iwadii nipa iṣẹ-ogbin.
drones. Ni afikun, awọn ẹkọ iwaju le pese awọn oye si agbara ti awọn drones lati mu iduroṣinṣin ogbin pọ si ni awọn ọna pupọ bii ibojuwo ayika, iṣakoso irugbin, ati maapu igbo gẹgẹbi a ti tọka nipasẹ ọpọlọpọ awọn oniwadi (Chamuah & Singh, 2019; Islam et al., 2021; Popescu et al., 2020; J. Su, Liu, ati al., 2018b). Niwọn igba ti itupalẹ ọrọ ko ṣee ṣe nitori nọmba giga ti awọn iwe ti a yan, iwulo wa fun awọn atunwo litireso eto ti o ṣe ayẹwo awọn
awọn ọna iwadi ti a lo ati ilowosi awọn agbe ni awọn ẹkọ iṣaaju. Ni kukuru, itupalẹ wa ti iwadii drone ṣafihan awọn ọna asopọ alaihan ti ara imọ yii. Atunyẹwo yii nitorina ṣe iranlọwọ lati ṣii awọn ibatan laarin awọn atẹjade ati ṣawari ilana ọgbọn ti aaye iwadii. O tun ṣe afihan awọn ọna asopọ laarin awọn oriṣiriṣi awọn abala ti iwe, gẹgẹbi awọn koko-ọrọ awọn onkọwe, awọn ibatan, ati awọn orilẹ-ede.
Declaration of Idije Anfani
Awọn onkọwe n kede pe wọn ko ni awọn anfani inawo idije ti a mọ tabi awọn ibatan ti ara ẹni ti o le ti han lati ni ipa lori iṣẹ ti a royin ninu iwe yii.
Afikun 1
Àkọlé-ABS-KEY (((drone* TABI “ọkọ̀ ojú òfuurufú aláìlẹ́gbẹ́) TABI uav* TABI “ètò ọkọ̀ òfuurufú tí kò ní ènìyàn” TABI uas TABI “ọkọ ofurufu ti o wa ni jijin”) ATI (ogbin TABI oko TABI agbe TABI agbe))) ATI (IKỌSỌ (ỌDỌDE, 2022)) ATI (LIMIT-TO (LANGUAGE, “Gẹẹsi”)).
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