Lentil Splitting Yield Predictor

Lentil Splitting Yield Predictor MCP Connector for Claude

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Predicts lentil splitting yield, breakage, and cooking performance.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for predicting the processing yield and quality of lentils intended for dhal production. Use predict_splitting_yield to calculate expected dhal yield and broken seed percentages based on seed size, coat thickness, and moisture. You can also use estimate_cooking_performance to determine cooking time and hydration capacity, or classify_grade to assign commercial grades based on predicted outcomes.

lentilsyield-predictionagriculture-techfood-processingquality-control

4 tools expose this connector's capabilities to your AI agent.

get_processing_margin

Provides a financial or efficiency buffer based on the predicted loss during splitting

classify_grade

Assigns a commercial grade to the batch based on predicted yield and quality

estimate_cooking_performance

Predicts the time required for cooking and the water absorption properties

predict_splitting_yield

Calculates the expected volume of usable dhal and the expected percentage of broken seeds

See how to talk to your AI agent using Lentil Splitting Yield Predictor.

What is the expected yield for a lentil variety with a seed size of 5mm, coat thickness of 0.2mm, and 12% moisture?

The expected dhal yield is 85% with a broken percentage of 4%.

Predict the cooking performance for a variety with 5mm size and 10% moisture content.

The estimated cooking time is 18 minutes with a high hydration capacity.

What grade will a batch get if it has 88% yield and 3% breakage with a quality rating of 8?

The batch is classified as Grade A.

Harvest timing influences seed coat integrity. Using `predict_splitting_yield` with a 'late' harvest timing will account for increased fragility and higher breakage risk.

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