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G.-J. Higinio, J. Martínez-Sánchez, M. Bueno, and P. Arias. “Unmanned aerial systems for civil applications: A review.” Drones 1, no. 1 (2017): 2.HiginioG.-J.Martínez-SánchezJ.BuenoM.AriasP.“Unmanned aerial systems for civil applications: A review.”Drones1120172Search in Google Scholar
M. Gaetano, and G. Modica. “Applications of UAV thermal imagery in precision agriculture: State of the art and future research outlook.” Remote Sensing 12, no. 9 (2020): 1491.GaetanoM.ModicaG.“Applications of UAV thermal imagery in precision agriculture: State of the art and future research outlook.”Remote Sensing12920201491Search in Google Scholar
A. D. Boursian, M. S. Papadopoulou, P. Diamantoulakis, L.-T. Aglaia, P. Barouchas, G. Salahas, G. Karagiannidis, S. Wan, and S. K. Goudos. “Internet of things (IoT) and agricultural unmanned aerial vehicles (UAVs) in smart farming: A comprehensive review.” Internet of Things 18 (2022): 100187.BoursianA. D.PapadopoulouM. S.DiamantoulakisP.AglaiaL.-T.BarouchasP.SalahasG.KaragiannidisG.WanS.GoudosS. K.“Internet of things (IoT) and agricultural unmanned aerial vehicles (UAVs) in smart farming: A comprehensive review.”Internet of Things182022100187Search in Google Scholar
Y. Zhao, “Key technology research on decentralized Internet-based smart agriculture platform,” Applied Mathematics and Nonlinear Sciences (2024).ZhaoY.“Key technology research on decentralized Internet-based smart agriculture platform,”Applied Mathematics and Nonlinear Sciences2024Search in Google Scholar
S. C. Hassler and B.-G., Fulya “Unmanned aircraft system (UAS) technology and applications in agriculture.” Agronomy 9, no. 10 (2019): 618.HasslerS. C.FulyaB.-G.“Unmanned aircraft system (UAS) technology and applications in agriculture.”Agronomy9102019618Search in Google Scholar
B. J. G. Arnal. “A review on the use of unmanned aerial vehicles and imaging sensors for monitoring and assessing plant stresses.” Drones 3, no. 2 (2019): 40.ArnalB. J. G.“A review on the use of unmanned aerial vehicles and imaging sensors for monitoring and assessing plant stresses.”Drones32201940Search in Google Scholar
B. Cui, L. Liang, B. Ji, L. Zhang, L. Zhao, K. Zhang, F. Shi, and J. C. Créput, “Exploring the YOLO-FT Deep Learning Algorithm for UAV-Based Smart Agriculture Detection in Communication Networks.” IEEE Transactions on Network and Service Management (2024).CuiB.LiangL.JiB.ZhangL.ZhaoL.ZhangK.ShiF.CréputJ. C.“Exploring the YOLO-FT Deep Learning Algorithm for UAV-Based Smart Agriculture Detection in Communication Networks.”IEEE Transactions on Network and Service Management2024Search in Google Scholar
B., Jens, F. Belkadi, C. Hupays, R. K. Gupta, F. Bitte, G. Lanza, and A. Bernard. “A modular-based approach for Just-In-Time Specification of customer orders in the aircraft manufacturing industry.” CIRP Journal of Manufacturing Science and Technology 21 (2018): 61–74.JensB.BelkadiF.HupaysC.GuptaR. K.BitteF.LanzaG.BernardA.“A modular-based approach for Just-In-Time Specification of customer orders in the aircraft manufacturing industry.”CIRP Journal of Manufacturing Science and Technology2120186174Search in Google Scholar
S. Bhattacharjee, L. B. A. Rahim, J. Watada, and A. Roy. “Unified GPU technique to boost confidentiality, integrity and trim data loss in big data transmission.” IEEE Access 8 (2020): 45477–45495.BhattacharjeeS.RahimL. B. A.WatadaJ.RoyA.“Unified GPU technique to boost confidentiality, integrity and trim data loss in big data transmission.”IEEE Access820204547745495Search in Google Scholar
I. M. Kulmány, A. Bede-Fazekas, A. Beslin, Z. Giczi, G. Milics, B. Kovács, M. Kovács, B. Ambrus, L. Bede, and V. Vona. “Calibration of an Arduino-based low-cost capacitive soil moisture sensor for smart agriculture”, Journal of Hydrology and Hydromechanics (2022):70(3):330–40.KulmányI. M.Bede-FazekasA.BeslinA.GicziZ.MilicsG.KovácsB.KovácsM.AmbrusB.BedeL.VonaV.“Calibration of an Arduino-based low-cost capacitive soil moisture sensor for smart agriculture”Journal of Hydrology and Hydromechanics202270333040Search in Google Scholar
S. Bhattacharjee, M. Chakkaravarthy, and D. M. Chakkaravarthy. “GPU-based integrated security system for minimizing data loss in big data transmission.” In Data Management, Analytics, and Innovation: Proceedings of ICDMAI, Springer Singapore (2019):2:421–435.BhattacharjeeS.ChakkaravarthyM.ChakkaravarthyD. M.“GPU-based integrated security system for minimizing data loss in big data transmission.”InData Management, Analytics, and Innovation: Proceedings of ICDMAISpringer Singapore20192421435Search in Google Scholar
B. Farouk, J. Buergin, R. K. Gupta, Y. Zhang, A. Bernard, G. Lanza, M. Colledani, and M. Urgo. “Co-definition of product structure and production network for frugal innovation perspectives: towards a modular-based approach.” Procedia Cirp, (2016): 50:589–594.FaroukB.BuerginJ.GuptaR. K.ZhangY.BernardA.LanzaG.ColledaniM.UrgoM.“Co-definition of product structure and production network for frugal innovation perspectives: towards a modular-based approach.”Procedia Cirp201650589594Search in Google Scholar
M. U.M. Rao, and B. B. V. L. Deepak. “Review on application of drone systems in precision agriculture.” Procedia computer science 133 (2018): 502–509.RaoM. U.M.DeepakB. B. V. L.“Review on application of drone systems in precision agriculture.”Procedia computer science1332018502509Search in Google Scholar
R. Abderahman, A. Abdollahi, K. Rejeb, and H. Treiblmaier. “Drones in agriculture: A review and bibliometric analysis.” Computers and electronics in agriculture 198 (2022): 107017.AbderahmanR.AbdollahiA.RejebK.TreiblmaierH.“Drones in agriculture: A review and bibliometric analysis.”Computers and electronics in agriculture1982022107017Search in Google Scholar
V. Choudhary, P. Guha, S. Mishra, A. Singh, V. Sharma, and R. K. Dhanaraj, Smart production monitoring using drones in cyber-physical agricultural systems.” InAgri 4.0 and the Future of Cyber-Physical Agricultural Systems, (2024):pp. 197–218, Academic Press.ChoudharyV.GuhaP.MishraS.SinghA.SharmaV.DhanarajR. K.Smart production monitoring using drones in cyber-physical agricultural systems.”InAgri 4.0 and the Future of Cyber-Physical Agricultural Systems2024197218Academic PressSearch in Google Scholar
S. A. Kumar, J. Saha, R. Ray, S. Sircar, S. Dutta, S. P. Chattopadhyay, and H. N. Saha. “IOT-based drone for improvement of crop quality in agricultural field.” In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), pp. 612–615. IEEE, 2018.KumarS. A.SahaJ.RayR.SircarS.DuttaS.ChattopadhyayS. P.SahaH. N.“IOT-based drone for improvement of crop quality in agricultural field.”In2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC)612615IEEE2018Search in Google Scholar
J. A. Mahmood, H. M. Jawad, R. Nordin, S. K. Gharghan, N. F. Abdullah, and M. J. Abu-Alshaeer. “Wireless power transfer with magnetic resonator coupling and sleep/active strategy for a drone charging station in smart agriculture.” IEEE Access 7 (2019): 139839–139851.MahmoodJ. A.JawadH. M.NordinR.GharghanS. K.AbdullahN. F.Abu-AlshaeerM. J.“Wireless power transfer with magnetic resonator coupling and sleep/active strategy for a drone charging station in smart agriculture.”IEEE Access72019139839139851Search in Google Scholar
L. B. A. Rahim, K. M. Kudiri, and S. Bhattacharjee. “Framework for parallelisation on big data.” PloS one 14, no. 5 (2019): e0214044.RahimL. B. A.KudiriK. M.BhattacharjeeS.“Framework for parallelisation on big data.”PloS one1452019e0214044Search in Google Scholar
S. Bhattacharjee, L. B. A. Rahim, and I. B. A. Aziz. “Hiding of compressed bit stream into audio file to enhance the confidentiality and portability of a data transmission system.” In 2015 International Symposium on Mathematical Sciences and Computing Research (iSMSC), pp. 196201. IEEE, 2015.BhattacharjeeS.RahimL. B. A.AzizI. B. A.“Hiding of compressed bit stream into audio file to enhance the confidentiality and portability of a data transmission system.”In2015 International Symposium on Mathematical Sciences and Computing Research (iSMSC)196201IEEE2015Search in Google Scholar
C. A. Toledo, A. M. Villegas, L. A. Muñoz, “Model based on the principles of smart agriculture to mitigate the effects of frost and improve agricultural production in the Cundiboyacense plateau”, International Journal on Smart Sensing and Intelligent Systems, (2022).ToledoC. A.VillegasA. M.MuñozL. A.“Model based on the principles of smart agriculture to mitigate the effects of frost and improve agricultural production in the Cundiboyacense plateau”International Journal on Smart Sensing and Intelligent Systems2022Search in Google Scholar
S. Bhattacharjee, L. B. A. Rahim, A. W. Ramadhani, M. Chakkaravarthy, and D. M. Chakkravarthy. “A study on seismic big data handling at seismic exploration industry.” In Intelligent Computing and Innovation on Data Science: Proceedings of ICTIDS 2019, pp. 421429. Singapore: Springer Singapore, 2021.BhattacharjeeS.RahimL. B. A.RamadhaniA. W.ChakkaravarthyM.ChakkravarthyD. M.“A study on seismic big data handling at seismic exploration industry.”InIntelligent Computing and Innovation on Data Science: Proceedings of ICTIDS 2019421429Singapore: Springer Singapore2021Search in Google Scholar
F. P. C. Norrman, and K. Johansen. “Agricultural innovation and the role of institutions: lessons from the game of drones.” Journal of Agricultural and Environmental Ethics 32 (2019): 681–707.NorrmanF. P. C.JohansenK.“Agricultural innovation and the role of institutions: lessons from the game of drones.”Journal of Agricultural and Environmental Ethics322019681707Search in Google Scholar
V. Kaliannan, and F. K. A. Saidi, “Intelligent Computing with Drones and Robotics for Precision Agriculture.” InIntelligent Robots and Drones for Precision Agriculture 2024:pp.1–17. Cham: Springer Nature Switzerland.KaliannanV.SaidiF. K. A.“Intelligent Computing with Drones and Robotics for Precision Agriculture.”InIntelligent Robots and Drones for Precision Agriculture2024117ChamSpringer Nature SwitzerlandSearch in Google Scholar
A. Younes, N. Almaadeed, S. Al-Maadeed, and O. Elharrouss. “Applications, databases and open computer vision research from drone videos and images: a survey.” Artificial Intelligence Review 54 (2021): 3887–3938.YounesA.AlmaadeedN.Al-MaadeedS.ElharroussO.“Applications, databases and open computer vision research from drone videos and images: a survey.”Artificial Intelligence Review54202138873938Search in Google Scholar
A. M. W. Li, M. M. Cheema, S. Hussain, A. Shaheen, B. Aslam, C. Liu, and A. Ali. “Assessment of optimal flying height and timing using high-resolution unmanned aerial vehicle images in precision agriculture.” International Journal of Environmental Science and Technology (2021): 118.LiA. M. W.CheemaM. M.HussainS.ShaheenA.AslamB.LiuC.AliA.“Assessment of optimal flying height and timing using high-resolution unmanned aerial vehicle images in precision agriculture.”International Journal of Environmental Science and Technology2021118Search in Google Scholar
F. Ahmad, A. Farooq, L. Goparaju, J. Rizvi, “The Geospatial Understanding of Climate-Smar t Agriculture and REDD+ Implementation: Indian Perspective,” Ekológia (Bratislava), (2020): 39:1: 72–87.AhmadF.FarooqA.GoparajuL.RizviJ.“The Geospatial Understanding of Climate-Smar t Agriculture and REDD+ Implementation: Indian Perspective,”Ekológia (Bratislava)20203917287Search in Google Scholar
S. Bhattacharjee, L. B. A. Rahim, and I. B. A. Aziz. “A security scheme to minimize information loss during big data transmission over the internet.” In 2016 3rd International Conference on Computer and Information Sciences (ICCOINS), pp. 215–220. IEEE, 2016.BhattacharjeeS.RahimL. B. A.AzizI. B. A.“A security scheme to minimize information loss during big data transmission over the internet.”In2016 3rd International Conference on Computer and Information Sciences (ICCOINS)215220IEEE2016Search in Google Scholar
S. Bhattacharjee, L. B. A. Rahim, and I. B. A. Aziz. “A Lossless compression technique to increase robustness in big data transmission system.” International Journal in Advances in Soft Computing and Its Application (2015).BhattacharjeeS.RahimL. B. A.AzizI. B. A.“A Lossless compression technique to increase robustness in big data transmission system.”International Journal in Advances in Soft Computing and Its Application2015Search in Google Scholar
S. Meivel, and S. Maheswari. “Remote sensing analysis of agricultural drone.” Journal of the Indian Society of Remote Sensing 49 (2021): 689–701.MeivelS.MaheswariS.“Remote sensing analysis of agricultural drone.”Journal of the Indian Society of Remote Sensing492021689701Search in Google Scholar
S. Vishnoi, and R. K. Goel, “Climate smart agriculture for sustainable productivity and healthy landscapes”. Environmental Science & Policy. (2024)151:103600.VishnoiS.GoelR. K.“Climate smart agriculture for sustainable productivity and healthy landscapes”Environmental Science & Policy2024151103600Search in Google Scholar
A. Waleed, M. Masood, A. Javed, M. Nawaz, and S. Albahli. “Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification.” Complex & Intelligent Systems 9, no. 2 (2023): 1299–1316.WaleedA.MasoodM.JavedA.NawazM.AlbahliS.“Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification.”Complex & Intelligent Systems92202312991316Search in Google Scholar
Z. Alec, S. A. Wheeler, and H. Sun. “Flying over the farm: Understanding drone adoption by Australian irrigators.” Precision agriculture 22, no. 6 (2021): 1973–1991.AlecZ.WheelerS. A.SunH.“Flying over the farm: Understanding drone adoption by Australian irrigators.”Precision agriculture226202119731991Search in Google Scholar
C.-P. Gonzalo, H. Loayza, S. Palacios, M. Balcazar, M. Carbajal, and R. Quiroz. “Development of low-cost remote sensing tools and methods for supporting smallholder agriculture.” Applied Geomatics 12 (2020): 247–263.GonzaloC.-P.LoayzaH.PalaciosS.BalcazarM.CarbajalM.QuirozR.“Development of low-cost remote sensing tools and methods for supporting smallholder agriculture.”Applied Geomatics122020247263Search in Google Scholar
D. Murugan, A. Garg, and D. Singh. “Development of an adaptive approach for precision agriculture monitoring with drone and satellite data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10, no. 12 (2017): 5322–5328.MuruganD.GargA.SinghD.“Development of an adaptive approach for precision agriculture monitoring with drone and satellite data.”IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1012201753225328Search in Google Scholar
C. Ching-Ju, Y.-Y. Huang, Y.-S. Li, Y.-C. Chen, C.-Y. Chang, and Y.-M. Huang. “Identification of fruit tree pests with deep learning on embedded drone to achieve accurate pesticide spraying.” IEEE Access 9 (2021): 21986–21997.Ching-JuC.HuangY.-Y.LiY.-S.ChenY.-C.ChangC.-Y.HuangY.-M.“Identification of fruit tree pests with deep learning on embedded drone to achieve accurate pesticide spraying.”IEEE Access920212198621997Search in Google Scholar
D. Huo, A. W. Malik, S. D. Ravana, A. U. Rahman, and I. Ahmedy, “Mapping smart farming: Addressing agricultural challenges in data-driven era”. Renewable and Sustainable Energy Reviews. (2024)189:113858.HuoD.MalikA. W.RavanaS. D.RahmanA. U.AhmedyI.“Mapping smart farming: Addressing agricultural challenges in data-driven era”Renewable and Sustainable Energy Reviews2024189113858Search in Google Scholar
P. K. R. Maddikunta, S. Hakak, M. Alazab, S. Bhattacharya, T. R. Gadekallu, W. Z. Khan, and Q.V. Pham. “Unmanned aerial vehicles in smart agriculture: Applications, requirements, and challenges.” IEEE Sensors Journal 21, no. 16 (2021): 17608–17619.MaddikuntaP. K. R.HakakS.AlazabM.BhattacharyaS.GadekalluT. R.KhanW. Z.PhamQ.V.“Unmanned aerial vehicles in smart agriculture: Applications, requirements, and challenges.”IEEE Sensors Journal211620211760817619Search in Google Scholar
I, Yoshio, and M. Yokoyama. “Drone-Based Optical, Thermal, and 3d Sensing for Diagnostic Information in Smart Farming–Systems and Algorithms–.” In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 7266–7269. IEEE, 2019.YoshioIYokoyamaM.“Drone-Based Optical, Thermal, and 3d Sensing for Diagnostic Information in Smart Farming–Systems and Algorithms–.”InIGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium72667269IEEE2019Search in Google Scholar