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cs.LG2025
ReinDSplit: Reinforced Dynamic Split Learning for Pest Recognition in Precision Agriculture
Vishesh Kumar Tanwar, Soumik Sarkar, Asheesh K. Singh +1
To empower precision agriculture through distributed machine learning (DML), split learning (SL) has emerged as a promising paradigm, partitioning deep neural networks (DNNs) betwe…
cs.LG2025★ 1 cited
Towards Large Reasoning Models for Agriculture
Hossein Zaremehrjerdi, Shreyan Ganguly, Ashlyn Rairdin +17
Agricultural decision-making involves complex, context-specific reasoning, where choices about crops, practices, and interventions depend heavily on geographic, climatic, and econo…