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This paper proposes AgriTune-R, a reproducible framework for fine-tuning Qwen3-8B for agricultural tasks, integrating data governance, LoRA/QLoRA fine-tuning, RAG, expert evaluation, and safety control.
A researcher shares their struggle with achieving only ~50% accuracy using SSL methods (BYOL, MAE, VICReg) for hyperspectral crop stress classification on cabbage nitrogen deficiency detection, seeking advice on SSL techniques, feature engineering, and model architectures better suited for spectral data.
Digital Green launched Farmer.Chat, an AI-powered chatbot built with OpenAI that provides agricultural extension services to farmers in India and Kenya, reducing extension service costs by 100x while supporting over 4,500 extension agents across both countries.