# Alfalfa Yield & Quality Predictor AI Agent Connect

> Predict alfalfa yield and nutritional quality metrics from cutting schedules.

## Overview
- **Category:** agriculture
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_QZYYq3VqGmOfn9OdAFY3tqD8RrGSy253UTVAHB3Z/ai-agent-connect
- **Tags:** alfalfa, yield, forage, agriculture, agronomy

## Description

This MCP server provides advanced modeling for alfalfa management. It allows AI agents to predict harvest metrics like yield, CP, NDF, ADF, and RFV using `predict_harvest_metrics`. Users can assess long-term stand health with `evaluate_stand_persistence` to monitor carbohydrate root reserves, or find the optimal balance between biomass and nutrition using `optimize_cutting_schedule`. For detailed growth simulations, `get_quality_profile` visualizes how nutritional decay correlates with increasing cutting intervals.

## Tools

### evaluate_stand_persistence
Assesses the long-term health and survival probability of the alfalfa stand

### get_quality_profile
Provides a comparative overview of how quality metrics change over a range of possible cutting intervals

### optimize_cutting_schedule
Recommends the ideal cutting interval to balance yield and quality

### predict_harvest_metrics
Predicts the specific yield and nutritional quality of a single upcoming harvest

## Prompt Examples

**Prompt:** 
```
Predict the yield and quality for a 24-month old stand with a 35-day cutting interval given recent warm weather.
```

**Response:** 
```
The predicted yield is 18.5 tonnes DM/ha with an RFV of 145 and CP of 18%.
```

**Prompt:** 
```
What is the best cutting interval to get at least 15 tonnes DM/ha with an RFV of 130?
```

**Response:** 
```
The recommended interval is 42 days, which is expected to yield 15.2 tonnes DM/ha with an RFV of 132.
```

**Prompt:** 
```
Check if my current cutting history is putting the stand at risk.
```

**Response:** 
```
The current reserve status is 'Low' due to frequent high-yield harvests, indicating a risk to stand persistence.
```

## Frequently Asked Questions

**How does the tool account for weather?**
The `predict_harvest_metrics` tool accepts weather conditions as input to adjust biological maturity and growth rates based on temperature and precipitation.

**Can I optimize for specific livestock needs?**
Yes, `optimize_cutting_schedule` allows you to set a target RFV (Relative Feed Value) to ensure the forage meets the specific nutritional requirements of your livestock.

**What is stand persistence?**
Stand persistence refers to the ability of the alfalfa to survive over multiple seasons. You can use `evaluate_stand_persistence` to check if your cutting frequency is depleting carbohydrate root reserves.