# Tilapia Growth & Thermal Modeling AI Agent Connect

> Predictive modeling for tilapia growth, feed efficiency, and survival based on thermal profiles.

## Overview
- **Category:** biology
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_0fuxJGkPdoZnu0TRsIMk2ux8xR19NPn7VNRI4XLz/ai-agent-connect
- **Tags:** tilapia, growth-modeling, thermal-stress, fcr, aquaculture-tech

## Description

This MCP server provides advanced predictive modeling for tilapia aquaculture. It allows AI agents to simulate growth trajectories, evaluate nutritional efficiency, and predict population survival by analyzing thermal unit growth coefficients (TGC) and environmental stressors. Use `predict_growth_trajectory` to estimate harvest timelines, `evaluate_efficiency_metrics` to analyze FCR, `estimate_survival_probability` to assess mortality risks, and `identify_thermal_optimum` to find the ideal temperature window for your specific stocking density.

## Tools

### evaluate_efficiency_metrics
Analyzes the nutritional and economic efficiency of the feeding program

### estimate_survival_probability
Predicts the likelihood of the fish population surviving the growth cycle

### identify_thermal_optimum
Finds the most efficient temperature range for a specific feeding and density setup

### predict_growth_trajectory
Calculates the projected weight gain and time required to reach a target weight

## Prompt Examples

**Prompt:** 
```
How many days will it take for 50g tilapia to reach 500g if the temperature is consistently 28°C with a feeding rate of 3g/day and a density of 5 fish/m³?
```

**Response:** 
```
Based on a constant temperature of 28°C, it will take approximately 142 days to reach the target weight of 500g.
```

**Prompt:** 
```
What is the predicted survival rate for 1000 fish at a density of 10 fish/m³ with a temperature profile fluctuating between 24°C and 30°C?
```

**Response:** 
```
The predicted survival rate for this population is 0.88, meaning approximately 880 fish are expected to survive the cycle.
```

**Prompt:** 
```
What is the best temperature for growth if I am feeding 4g per day at a density of 4 fish/m³?
```

**Response:** 
```
The optimal temperature for these parameters is 29.5°C, with an efficiency window between 28.5°C and 30.5°C.
```

## Frequently Asked Questions

**How does temperature affect the growth predictions?**
The model uses the Thermal Unit Growth Coefficient (TGC) to calculate how water temperature influences weight gain. Deviations from the optimal range or high fluctuations can trigger stress responses that reduce growth and survival.

**Can I predict when my tilapia will be ready for harvest?**
Yes, by using the `predict_growth_trajectory` tool, you can provide initial weight, feeding rates, and a temperature profile to estimate the total days required to reach your target harvest weight.

**How is feed efficiency measured?**
Efficiency is measured via the Feed Conversion Ratio (FCR). You can use `evaluate_efficiency_metrics` to analyze how effectively your feeding program converts feed into biomass relative to the thermal environment.