Author

P. Preethi

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Open access Aug 2026

Adaptive generalized regressive deep convolutional reinforcement learning for crop yield prediction in smart precision farming

An Adaptive Generalized Regressive Deep Convolutional Reinforcement Learning (AGR-DCRL) model is proposed to enhance prediction accuracy for smart farming and achieves higher accuracy, lesser error rates, and faster prediction time compared to conventional deep learning approaches.

P. Preethi, Raghavendra M. Devadas · Scientific Reports · 0 citations