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Multimodal Information Synthesis for AI-Assisted Agricultural Field Assessment Using MCP

by stillsen

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    • A
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      Enables AI assistants to access free, open agronomic data for field briefings, spray windows, water balance, pest pressure, and more, using only public data sources without API keys.
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    • A
      license
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      quality
      B
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      Enables AI agents to seal, open, verify, and ingest verifiable agri-traceability data by description, with credentials and private keys kept out of the model's flow.
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      Gives AI assistants read-only, key-free access to Sentinel-2 NDVI time series, ESA WorldCover land-cover shares, and Copernicus 30 m elevation and slope for a point or small area, returning the scene IDs, units, and caveats behind every number. Built-in sanity checks and a verify tool recompute key values through an independent path so the assistant can flag cloudy, low-confidence, or mismatched results instead of guessing.
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