# Buckwheat Milling Yield Predictor AI Agent Connect

> Predicts buckwheat milling yield, nutritional quality, and market value.

## Overview
- **Category:** agriculture
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_fSCZTYibaAptO08pZP8XOoCTUxXc5d0gRjghJmAL/ai-agent-connect
- **Tags:** buckwheat, milling, yield-prediction, agriculture-tech, food-quality

## Description

This MCP server provides specialized tools for buckwheat processing analysis. Use `predict_yield_and_quality` to calculate expected groat and flour yields alongside protein and fiber content based on seed physical properties. The `estimate_market_value` tool identifies the most profitable processing route, such as Soba noodles or whole groats, while `evaluate_processing_efficiency` assesses mechanical risks like hull contamination. You can also use `get_variety_parameters` to retrieve baseline biological constants for specific cultivars.

### Available Tools

`predict_yield_and_quality_tool`, `estimate_market_value_tool`, `evaluate_processing_efficiency_tool`, `get_variety_parameters_tool`

## Tools

### evaluate_processing_efficiency_tool
Analyzes how physical characteristics impact the mechanical milling process

### get_variety_parameters_tool
Retrieves baseline constants for a specific buckwheat variety

### predict_yield_and_quality_tool
Predicts expected buckwheat milling yield and nutritional quality

### estimate_market_value_tool
Determines the most profitable processing route based on predicted outputs

## Prompt Examples

**Prompt:** 
```
What is the expected yield and protein content for a buckwheat variety with 75% groat percentage, 25g thousand seed weight, 0.5mm hull thickness, and 0.8 uniformity?
```

**Response:** 
```
The expected groat yield is 71.2% and the protein content is 12.4%.
```

**Prompt:** 
```
Based on a groat yield of 65kg, flour yield of 40kg, and protein content of 14%, which market is most profitable?
```

**Response:** 
```
The recommended market is Soba noodles.
```

**Prompt:** 
```
Analyze the processing risk for seeds with 0.8mm hull thickness, 22g thousand seed weight, and 0.4 seed uniformity.
```

**Response:** 
```
The efficiency rating is low with a high risk level due to the high bottleneck factor caused by thick hulls and low uniformity.
```

## Frequently Asked Questions

**How does hull thickness affect my results?**
Thicker hulls reduce dehulling efficiency, which is reflected in the `predict_yield_and_quality` output as a lower expected groat yield. Tools available: `predict_yield_and_quality_tool`, `estimate_market_value_tool`, `evaluate_processing_efficiency_tool`.

**Can I determine if my buckwheat is suitable for Soba noodles?**
Yes, by using `estimate_market_value` after running the yield prediction, the tool will recommend the Soba noodle market if protein levels are sufficient.

**What inputs are required for yield prediction?**
You need to provide the groat percentage, thousand seed weight, hull thickness, seed uniformity, and the specific variety name to `predict_yield_and_quality`.