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Advancement of agro-economy and synthetic agro-data generation using creative AI and drone technology

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Dec 21, 2024

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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.” Drones 1 1 2017 2 Search 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 Sensing 12 9 2020 1491 Search 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 Things 18 2022 100187 Search 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 Sciences 2024 Search 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.” Agronomy 9 10 2019 618 Search 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.” Drones 3 2 2019 40 Search 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 Management 2024 Search 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 Technology 21 2018 61 74 Search 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 Access 8 2020 45477 45495 Search 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 Hydromechanics 2022 70 3 330 40 Search 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.” In Data Management, Analytics, and Innovation: Proceedings of ICDMAI Springer Singapore 2019 2 421 435 Search 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 Cirp 2016 50 589 594 Search 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 science 133 2018 502 509 Search 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 agriculture 198 2022 107017 Search 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 Systems 2024 197 218 Academic Press Search 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.” In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC) 612 615 IEEE 2018 Search 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 Access 7 2019 139839 139851 Search 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 one 14 5 2019 e0214044 Search 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.” In 2015 International Symposium on Mathematical Sciences and Computing Research (iSMSC) 196201 IEEE 2015 Search 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 Systems 2022 Search 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.” In Intelligent Computing and Innovation on Data Science: Proceedings of ICTIDS 2019 421429 Singapore: Springer Singapore 2021 Search 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 Ethics 32 2019 681 707 Search 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 Agriculture 2024 1 17 Cham Springer Nature Switzerland Search 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 Review 54 2021 3887 3938 Search 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 Technology 2021 118 Search 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) 2020 39 1 72 87 Search 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.” In 2016 3rd International Conference on Computer and Information Sciences (ICCOINS) 215 220 IEEE 2016 Search 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 Application 2015 Search 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 Sensing 49 2021 689 701 Search 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 & Policy 2024 151 103600 Search 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 Systems 9 2 2023 1299 1316 Search 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 agriculture 22 6 2021 1973 1991 Search 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 Geomatics 12 2020 247 263 Search 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 Sensing 10 12 2017 5322 5328 Search 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 Access 9 2021 21986 21997 Search 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 Reviews 2024 189 113858 Search 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 Journal 21 16 2021 17608 17619 Search 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. YoshioI YokoyamaM. “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 7266 7269 IEEE 2019 Search in Google Scholar

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