Agronomy agent combining imagery, weather, and research
An open-source agent prototype routes crop-health questions to image, satellite, weather, and research tools, then synthesizes a response.
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An open-source agent prototype routes crop-health questions to image, satellite, weather, and research tools, then synthesizes a response.
This project describes per-plant agents that monitor sensors and an owner agent that prioritizes farmer alerts in plain language.
An orchestrator routes questions to weather, crop, and market tools and returns answers in multiple languages.
A published research system combines search, retrieval, a knowledge graph, and specialized tools to answer agricultural questions.
A research team describes a multi-agent pipeline that compiles agricultural sources into a structured question-answer dataset.
A containerized suite includes a vision-based crop-disease prototype alongside general agricultural and financial agents.