MCP For Claude Marketplace
Tilapia Growth & Thermal Modeling

Tilapia Growth & Thermal Modeling MCP Connector for Claude

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

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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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.

tilapiagrowth-modelingthermal-stressfcraquaculture-tech

4 tools expose this connector's capabilities to your AI agent.

estimate_survival_probability

Predicts the likelihood of the fish population surviving the growth cycle

evaluate_efficiency_metrics

Analyzes the nutritional and economic efficiency of the feeding program

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

See how to talk to your AI agent using Tilapia Growth & Thermal Modeling.

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?

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

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?

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

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

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

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.

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