# Pecan Quality & Yield Predictor AI Agent Connect

> Predict pecan kernel quality, USDA grades, and yield impacts from water stress.

## Overview
- **Category:** supply-chain
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_7ba0zGGj6njshIe76wcDxt0rynECGQOl6UCn1vlu/ai-agent-connect
- **Tags:** pecan, agriculture, yield, usda, crop-analysis

## Description

This MCP server provides tools to analyze pecan crop quality and economic value. Use `get_kernel_metrics` to calculate meat yield and efficiency from nut density and fill. Use `determine_grade_and_price` to assign USDA grades like Fancy or Standard based on kernel color and size. Additionally, `simulate_yield_impact` predicts how environmental water stress affects final kernel fill and expected meat weight.

## Tools

### determine_grade_and_price
Assigns a USDA grade and an expected market price based on quality indicators

### get_kernel_metrics
Calculates the primary physical yield metrics from raw nut data

### simulate_yield_impact
Predicts how environmental water stress during the growth cycle will impact final kernel fill and yield

## Prompt Examples

**Prompt:** 
```
Calculate the yield metrics for a batch with 100 nuts per pound, 45% kernel percentage, and 85% kernel fill.
```

**Response:** 
```
The expected meat yield is 0.45 lbs per pound of whole nuts, with an efficiency score of 0.85.
```

**Prompt:** 
```
What is the USDA grade and price for light_brown kernels with 50% kernel percentage and 80 nuts per pound?
```

**Response:** 
```
The USDA grade is Fancy, with an expected price of $4.50 per pound.
```

**Prompt:** 
```
Predict the yield impact if there is a water stress level of 0.4 for a nut set of 5000 nuts with a baseline fill of 90%.
```

**Response:** 
```
The predicted kernel fill is 72% and the predicted meat yield is reduced accordingly, with a High risk level.
```

## Frequently Asked Questions

**How do I calculate the expected meat yield?**
You can use the `get_kernel_metrics` tool by providing the nut count per pound, the kernel percentage, and the kernel fill percentage.

**Can I predict the impact of drought on my crop?**
Yes, the `simulate_yield_impact` tool allows you to input water stress levels to predict changes in kernel fill and meat yield.

**How is the USDA grade determined?**
The `determine_grade_and_price` tool determines the grade by evaluating the kernel color, the meat-to-shell ratio, and the nut size (nut count per pound).