Open Access
| Issue |
SHS Web Conf.
Volume 216, 2025
International Conference on the Impact of Artificial Intelligence on Traditional Economic Sectors (ICIAITES 2025)
|
|
|---|---|---|
| Article Number | 01044 | |
| Number of page(s) | 8 | |
| Section | Intelligent Systems and Digital Transformation in Agricultural Economy and Sustainable Development | |
| DOI | https://doi.org/10.1051/shsconf/202521601044 | |
| Published online | 23 May 2025 | |
- U. Avalekar, D.J. Patil, D.S. Patil, P. Khot, P. Prathapan, Optimizing Agricultural Efficiency: A Fusion Of IoT, AI, Cloud Computing, And Wireless Sensor Network. Prof.(Dr.) Kesava (2024). https://doi.org/10.2139/ssrn.4789232 [Google Scholar]
- R.K. Singh, R. Berkvens, M. Weyn, AgriFusion: An architecture for IoT and emerging technologies based on a precision agriculture survey. IEEE Access 9, 136253–136283 (2021). https://doi.org/10.1109/ACCESS.2021.3117597 [CrossRef] [Google Scholar]
- M. Champness, C. Ballester-Lurbe, R. Filev-Maia, J. Hornbuckle, Smart sensing and automated irrigation for sustainable rice systems: A state of the art review. Adv. Agron. 177, 259–285 (2023). https://doi.org/10.1016/bs.agron.2022.11.002 [CrossRef] [Google Scholar]
- H.K. Sharma, Intelligent IoT for Precision Agriculture, in Computational Intelligence for Wireless Sensor Networks (Chapman and Hall/CRC, 2022), pp. 77–92. https://doi.org/10.1201/9781003102397-5 [Google Scholar]
- M.N. Mowla, N. Mowla, A.S. Shah, K. Rabie, T. Shongwe, Internet of things and wireless sensor networks for smart agriculture applications-a survey. IEEE Access (2023). https://doi.org/10.1109/ACCESS.2023.3340407 [Google Scholar]
- D. Huo, A.W. Malik, S.D. Ravana, A.U. Rahman, I. Ahmedy, Mapping smart farming: Addressing agricultural challenges in data-driven era. Renew. Sust. Energ. Rev. 189, 113858 (2024). https://doi.org/10.1016/j.rser.2023.113858 [CrossRef] [Google Scholar]
- C. Pero, S. Bakshi, M. Nappi, G. Tortora, IoT-Driven Machine Learning for Precision Viticulture Optimization. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. (2023). https://doi.org/10.1109/JSTARS.2023.3343458 [Google Scholar]
- C. Liang, T. Shah, IoT in agriculture: The future of precision monitoring and data-driven farming. Eigenpub Rev. Sci. Technol. 7(1), 85–104 (2023). https://doi.org/10.1007/978-981-97-5878-4_11 [Google Scholar]
- A. Khan, M. Hassan, A.K. Shahriyar, Optimizing onion crop management: a smart agriculture framework with IoT sensors and cloud technology. Appl. Res. Artif. Intell. Cloud Comput. 6(1), 49–67 (2023) [Google Scholar]
- B. Keswani, A.G. Mohapatra, P. Keswani, A. Khanna, D. Gupta, J. Rodrigues, Improving weather dependent zone specific irrigation control scheme in IoT and big data enabled self driven precision agriculture mechanism. Enterp. Inf. Syst. 14(9-10), 1494–1515 (2020). https://doi.org/10.1080/17517575.2020.1713406 [CrossRef] [Google Scholar]
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