Proposes AgriTune-R, a reproducible framework and expert-evaluation protocol for adapting general-purpose LLMs to agricultural QA, pest consultation, cultivation, and policy tasks.
Agrogpt: Efficient agricultural vision-language model with expert tuning
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A systematic survey of over 200 works on deep learning and AI techniques for crops, fisheries, and livestock in agriculture.
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Fine-Tuning General-Purpose Large Language Models for Agricultural Applications:A Reproducible Framework and Evaluation Protocol Based on Qwen3-8B
Proposes AgriTune-R, a reproducible framework and expert-evaluation protocol for adapting general-purpose LLMs to agricultural QA, pest consultation, cultivation, and policy tasks.
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AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock
A systematic survey of over 200 works on deep learning and AI techniques for crops, fisheries, and livestock in agriculture.