Design and Development of An Automated IoT-Aided Smart Agriculture Management System for Efficient Crop Yield Prediction

Kumar, Chitoor Venkat Rao Ajay and Anbuananth, C. and Chiranjeevi, Pandi (2025) Design and Development of An Automated IoT-Aided Smart Agriculture Management System for Efficient Crop Yield Prediction. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II.

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Abstract

Crop yield forecasting is a fundamental part of current precision agriculture which enables sustainable farming practice and optimal resources scheduling. Combining IoT with deep learning can improve predictive performance by benefiting from the real-time data gathering and the power of computationa

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 20:19
Last Modified: 16 Apr 2026 15:53
URI: http://eprints.eai.eu/id/eprint/60192

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