Agri-SCHOLAR: Simulation-Grounded In-Season Rolling Advisories for Agricultural Crops Using LLM-Bounded Optimization

region’s standard packages of practice and satisfactorily addresses the limitations of existing agricultural advisories.
Keywords Personalized in-season advisories · Multi-agent LLM systems · Agricultural advisory · Crop simulation · Simulation-grounded reasoning · Sustainable agriculture · AI for social good
1 Introduction
Agricultural advisories in much of the developing world are still produced by small teams of agronomists who issue broad guidance across large, dispersed regions. This approach does not scale, as even farms in the same advisory zone differ in soil, cultivar, sowing


本文转载自:arXiv
原文链接:https://arxiv.org/pdf/2610.31003v1

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