Revolutionizing Agriculture: Integrating IoT Cloud, and Machine Learning for Smart Farm Monitoring and Precision Agriculture
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67450-1_4
Reference45 articles.
1. Swetha, D. N., & Balaji, S. (2021). Agriculture cloud system based emphatic data analysis and crop yield prediction using hybrid artificial intelligence. Journal of Physics: Conference Series, 2040(1).
2. Akhter, R., & Sofi, S. A. (2022). Precision agriculture using IoT data analytics and machine learning. Journal of King Saud University-Computer and Information Sciences, 34(8), 5602–5618.
3. Adebiyi, M. O., Ogundokun, R. O., & Abokhai, A. A. (2020). Machine learning-based predictive farmland optimization and crop monitoring system. Hindawi Scientifica, 12.
4. Sharma, A., Jain, A., Gupta, P., & Chowdary, V. (2020). Machine learning applications for precision agriculture: A comprehensive review. IEEE Access.
5. Mahmudul, H., Abu, M. M., Palash, U. M., Ibn, A. M., Seifedine, K., Shaoqi, M., & Yunyoung, N. (2023). Ensemble machine learning-based recommendation system for effective prediction of suitable agricultural crop cultivation. Frontiers in Plant Science, 14.
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