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All issues Volume 680 (2025) E3S Web Conf., 680 (2025) 00077 References
Open Access
Issue
E3S Web Conf.
Volume 680, 2025
The 4th International Conference on Energy and Green Computing (ICEGC’2025)
Article Number 00077
Number of page(s) 10
DOI https://doi.org/10.1051/e3sconf/202568000077
Published online 19 December 2025
  1. I. Anam, N. Arafat, M.S. Hafiz, et al. A systematic review of UAV and AI integration for targeted disease detection, weed management, and pest control in precision agriculture. Smart Agricultural Technology 9, 100647 (2024). https://doi.org/10.1016/j.atech.2024.100647 [Google Scholar]
  2. T. Chikte, T. Kopta, V. Psota, et al. A Comprehensive Review of Low-and Zero-Residue Pesticide Methods in Vegetable Production. Agronomy 14:2745 (2024). https://doi.org/10.3390/agronomy14112745 [Google Scholar]
  3. M. Islam, S. Bijjahalli, T. Fahey, et al. Destructive and non-destructive measurement approaches and the application of AI models in precision agriculture: a review. Precision Agric 25. 1127–1180 (2024). https://doi.org/10.1007/s11119-024-10112-5 [Google Scholar]
  4. E.K. Wiafe, K. Betitame, B.G. Ram, X. Sun. Technical study on the efficiency and models of weed control methods using unmanned ground vehicles: A review. Artificial Intelligence in Agriculture 15, 622–641 (2025). https://doi.org/10.1016/j.aiia.2025.05.003 [Google Scholar]
  5. M.A. Mushtaq, M. Ateeq, M. Ikram, et al. Securing fruit trees future: AI-driven early warning and predictive systems for abiotic stress in changing climate. Plant Stress 17, 100953 (2025). https://doi.org/10.1016/j.stress.2025.100953 [Google Scholar]
  6. I.A. Lakhiar, H. Yan, C. Zhang, et al. A Review of Precision Irrigation Water-Saving Technology under Changing Climate for Enhancing Water Use Efficiency, Crop Yield, and Environmental Footprints. Agriculture 14, 1141 (2024). https://doi.org/10.3390/agriculture14071141 [Google Scholar]
  7. M. Padhiary, D. Saha, R. Kumar, et al. Enhancing precision agriculture: A comprehensive review of machine learning and AI vision applications in all-terrain vehicle for farm automation. Smart Agricultural Technology 8, 100483 (2024). https://doi.org/10.1016/j.atech.2024.100483 [CrossRef] [Google Scholar]
  8. S. Chakrabarty, C.K. Deb, S. Marwaha, et al. Application of artificial intelligence in insect pest identification - A review. Artificial Intelligence in Agriculture 16, 44–61 (2026). https://doi.org/10.1016/j.aiia.2025.06.005 [Google Scholar]
  9. H.A. Shehu, A. Ackley, M. Mark, O.E. Eteng. Artificial intelligence for early detection and management of Tuta absoluta-induced tomato leaf diseases: A systematic review. European Journal of Agronomy 170, 127669 (2025). https://doi.org/10.1016/j.eja.2025.127669 [Google Scholar]
  10. M. Roy, A. Medhekar. Transforming smart farming for sustainability through agri-tech innovations: Insights from the Australian agricultural landscape. Farming System 3, 100165 (2025). https://doi.org/10.1016/j.farsys.2025.100165 [Google Scholar]
  11. X. Zhu, D. Li, Y. Zheng, et al. A YOLO-based model for detecting stored-grain insects on surface of grain bulks. Insects 16, 210 (2025). https://doi.org/10.3390/insects16020210 [Google Scholar]
  12. E.-C. Oerke. Crop losses to pests. J. Agric. Sci. 144, 31–43 (2006). https://doi.org/10.1017/S0021859605005708 [CrossRef] [Google Scholar]
  13. M. Xiang, M. Qu, G. Wang, et al. Crop detection technologies, mechanical weeding executive parts and working performance of intelligent mechanical weeding: A review. Front. Plant Sci. 15, 1361002 (2024). https://doi.org/10.3389/fpls.2024.1361002 [Google Scholar]
  14. T. Jin, X. Han. Robotic arms in precision agriculture: A comprehensive review of the technologies, applications, challenges, and future prospects. Comput. Electron. Agric. 221, 108938 (2024). https://doi.org/10.1016/j.compag.2024.108938 [Google Scholar]
  15. W. Jiang, L. Quan, G. Wei, et al. A conceptual evaluation of a weed control method with post-damage application of herbicides: A composite intelligent intra-row weeding robot. Soil Tillage Res. 234, 105837 (2023). https://doi.org/10.1016/j.still.2023.105837 [Google Scholar]
  16. G. Gil, D.E. Casagrande, L.P. Cortés, R. Verschae. Why the low adoption of robotics in farms? Challenges for the establishment of commercial agricultural robots. Smart Agricultural Technology 3, 100069 (2023). https://doi.org/10.1016/j.atech.2022.100069 [Google Scholar]
  17. S.M. Talley. Public acceptance of AI technology in self-flying aircraft. JAAER 29, Article 3 (2020). https://doi.org/10.15394/jaaer.2020.1822 [Google Scholar]
  18. R. Raja, T.T. Nguyen, D.C. Slaughter, S.A. Fennimore. Real-time robotic weed knife control system for tomato and lettuce based on geometric appearance of plant labels. Biosyst. Eng. 194, 152–164 (2020). https://doi.org/10.1016/j.biosystemseng.2020.03.022 [Google Scholar]
  19. V. Choudhary, R. Machavaram, P. Soni. Optimizing mat quality and transplanter performance using soil mix with vermicompost and farmyard manure in paddy tray nursery: A sustainable smart farming approach in India. Farming System 1, 100046 (2023). https://doi.org/10.1016/j.farsys.2023.100046 [Google Scholar]
  20. Y. Cao, C. Yi, G. Wan, et al. An analysis on the role of blockchain-based platforms in agricultural supply chains. Transp. Res. Part E 163, 102731. https://doi.org/10.1016/j.tre.2022.102731 [Google Scholar]
  21. K. Paul, S.S. Chatterjee, P. Pai, et al. Viable smart sensors and their application in data-driven agriculture. Comput. Electron. Agric. 198, 107096 (2022) https://doi.org/10.1016/j.compag.2022.107096 [CrossRef] [Google Scholar]
  22. P.C. Ndayisaba, S. Kuyah, C.A.O. Midega, et al. Push-pull technology enhances resilience to climate change and prevents land degradation: Perceptions of adopters in western Kenya. Farming System 1, 100020 (2023). https://doi.org/10.1016/j.farsys.2023.100020 [Google Scholar]
  23. M. Pramuka, L. Van Roosmalen. Telerehabilitation technologies: Accessibility and usability. Int. J. Telerehab. 1, 85–98 (2009). https://doi.org/10.5195/ijt.2009.6016 [Google Scholar]
  24. U. Debangshi, A. Sadhukhan, D. Dutta, S. Roy. Application of smart farming technologies in sustainable agriculture development: A comprehensive review on present status and future advancements. IJECC 13, 3689–3704 (2023). https://doi.org/10.9734/ijecc/2023/v13i113549 [Google Scholar]

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