Clean Calibrate Yield Data

Learn how to ensure statistically sound data cleaning and calibration of your yield datasets using LLM together with GeoPard MCP

In this use case, we work with yield datasets to understand the distribution and quality of harvested data across the field. Using the connected GeoPard MCP, LLM retrieves statistical summaries for the original yield dataset, detects irregularities or sensor noise, and identifies where cleaning or calibration is required to ensure accuracy.

Once the quality checks are completed, LLM triggers the cleaning and calibration GeoPard MCP with the optimal parameters.

Ensure GeoPard MCP is connected before running this workflow. Setup details are provided here.

Tutorial for Single Yield Dataset

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