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Yield Tracking Workflow

Monitor and analyze crop yields, compare to historical data, and identify improvement opportunities

Complexity: Moderate | Duration: 15-30m | Category: Industry/Manufacturing

Tags: agriculture yield analytics quality tracking

Workflow Diagram​

Steps​

Step 1: Yield measurement​

Agent: data

analyst - Collect yield data from harvest equipment

Step 2: Quality assessment​

Agent: component

qa-validator - Evaluate crop quality metrics

Step 3: Spatial analysis​

Agent: data

analyst - Create yield maps and identify patterns

Step 4: Historical comparison​

Agent: data

analyst - Compare to previous years

Step 5: Input correlation​

Agent: data

analyst - Analyze relationship to inputs and practices

Step 6: Improvement identification​

Agent: project

architect - Recommend yield improvements

Step 7: Documentation​

Agent: codi

documentation-writer - Generate yield reports

Usage​

To execute this workflow:

/workflow industry/manufacturing/yield-tracking-workflow.workflow

See other workflows in this category for related automation patterns.