# Rice Milling Yield Predictor AI Agent Connect

> Predicts rice milling quality and economic output from kernel traits.

## Overview
- **Category:** supply-chain
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_UbM9I1DstivGiWgqQAVhdQ3m80jnOWmfQaqkz6MI/ai-agent-connect
- **Tags:** rice, milling, yield, agriculture, economics

## Description

This MCP server provides specialized tools to predict rice milling quality and economic value. By analyzing kernel geometry, chalkiness, and moisture levels, users can determine Head Rice Yield (HRY) and assess breakage risks. Use `predict_yield_metrics` to calculate physical outcomes, `calculate_economic_value` for monetary projections, `assess_fissuring_risk` to evaluate structural stability, and `get_variety_reference` to retrieve genetic resilience coefficients.

## Tools

### assess_fissuring_risk
Evaluates the likelihood of grain breakage due to moisture-related structural failure

### calculate_economic_value
Determines the monetary value of the milled rice based on its quality grades

### get_variety_reference
Retrieves the standard milling potential coefficient for a specific rice variety

### predict_yield_metrics
Calculates the primary physical yield outcomes for a given sample of rice

## Prompt Examples

**Prompt:** 
```
What is the predicted yield for a rice sample with length 7mm, width 2mm, thickness 2mm, 15% chalkiness, 18% moisture, and a variety potential of 0.85?
```

**Response:** 
```
The predicted head rice yield is 72%, with a broken kernel percentage of 18% and a total milling yield of 90%.
```

**Prompt:** 
```
Calculate the economic value for a yield with 75% head rice, 15% broken rice, and a Premium grade.
```

**Response:** 
```
The total economic value is $450.00 with a Premium grade classification.
```

**Prompt:** 
```
What is the fissuring risk for rice with 22% moisture and 25% chalkiness?
```

**Response:** 
```
The risk level is High with a breakage probability of 0.78.
```

## Frequently Asked Questions

**What data is required for yield prediction?**
You need to provide kernel length, width, thickness, chalkiness percentage, moisture content, and the variety's milling potential.

**How is the economic value determined?**
The value is calculated using `calculate_economic_value` based on the head rice yield, broken kernel percentage, and the selected market price grade.

**Can I check the risk of grain breakage?**
Yes, use the `assess_fissuring_risk` tool to evaluate the likelihood of breakage based on moisture and chalkiness.