Open-source demo
Crop scouting
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.
THE FIELD GUIDE TO AGENTS IN AGRICULTURE
Better ideas for
what AI can do
in agriculture.
Real projects. Clear workflows. Sources you can check. Explore how agents are being built for crop scouting, monitoring, advisory work, and research.
Every published example links to its source.
06Sourced examples
04Areas of work
100%Linked to originals
Built for curious growers, agronomists, and builders. Evidence first.
SOURCED USE CASES
6 use casesExplore what agents can do.
Find a practical starting point, then inspect the original source and its limitations. Browse all use cases ↗
Open-source project
Monitoring
Multi-agent plant monitoring with farmer alerts
This project describes per-plant agents that monitor sensors and an owner agent that prioritizes farmer alerts in plain language.
Open-source project
Advisory
Multilingual farm advisory agents
An orchestrator routes questions to weather, crop, and market tools and returns answers in multiple languages.
Research paper
Research
Research-grounded agricultural question answering
A published research system combines search, retrieval, a knowledge graph, and specialized tools to answer agricultural questions.
Research paper
Research
Multi-agent engine for agricultural knowledge data
A research team describes a multi-agent pipeline that compiles agricultural sources into a structured question-answer dataset.
Open-source demo
Crop scouting
Local-first crop disease triage prototype
A containerized suite includes a vision-based crop-disease prototype alongside general agricultural and financial agents.
WHY THIS EXISTSUseful ideas need
Useful ideas need
better evidence.
AI in agriculture moves quickly. This library makes workflows easier to understand while keeping source claims and field validation separate.
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