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- Vol. 5 Issue 3
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IoT-Based Smart Farm Protection and AI Crop Disease Detection System
Authors
1 Dean, Project Guide, Department of Computer Engineering, Sanjay Bhokare Group of Institute, Miraj, Maharashtra, India. 2 Project Guide, Department of Computer Engineering, Sanjay Bhokare Group of Institute, Miraj, Maharashtra, India. 3 HoD, Department of Computer Engineering, Sanjay Bhokare Group of Institute, Miraj, Maharashtra, India. 4 5 6 7 Department of Computer Engineering, Sanjay Bhokare Group of Institute, Miraj, Maharashtra, India.
Article Information
- Published In
- Volume 5, Issue 3 (2026)
- Published Online
- September-December 2026
- Pages
- 476-480
- Article Type
- Original Article
- Check for updates
-
References
1. A. S. Ibrahim, S. Mohsen, I. M. Selim, R. Alroobaea, M. Alsafyani, A. M. Baqasah, and M. Eassa, “AI-IoT based smart agriculture pivot for plant diseases detection and treatment,” [journal name, volume, article number, DOI – to be completed from the published article], 2025.
2. D. Gorijavolu, K. Sharma, and N. S. Rao, “Smart irrigation system and early plant disease detection using IoT and novel non-linear growing self-organizing map based artificial neural network,” Sci. Rep., 2026, doi: 10.1038/s41598-025-33323-w.
3. Y. Tace, M. Tabaa, S. Elfilali, C. Leghris, H. Bensag, and E. Renault, “Smart irrigation system based on IoT and machine learning,” Energy Rep., [vol., pages, DOI – to be completed], Nov. 2022.
4. F. Adenugba, S. Misra, R. Maskeliūnas, R. Damaševičius, and E. Kazanavičius, “Smart irrigation system for environmental sustainability in Africa: An Internet of Everything (IoE) approach,” Math. Biosci. Eng., vol. 16, no. 5, pp. 5490–5503, 2019, doi: 10.3934/mbe.2019273.
2. D. Gorijavolu, K. Sharma, and N. S. Rao, “Smart irrigation system and early plant disease detection using IoT and novel non-linear growing self-organizing map based artificial neural network,” Sci. Rep., 2026, doi: 10.1038/s41598-025-33323-w.
3. Y. Tace, M. Tabaa, S. Elfilali, C. Leghris, H. Bensag, and E. Renault, “Smart irrigation system based on IoT and machine learning,” Energy Rep., [vol., pages, DOI – to be completed], Nov. 2022.
4. F. Adenugba, S. Misra, R. Maskeliūnas, R. Damaševičius, and E. Kazanavičius, “Smart irrigation system for environmental sustainability in Africa: An Internet of Everything (IoE) approach,” Math. Biosci. Eng., vol. 16, no. 5, pp. 5490–5503, 2019, doi: 10.3934/mbe.2019273.
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