OptimalSeaFactory Project

AI-Powered Decision Support for Fish Farming

Overview

OptimalSeaFactory is an optimization system designed to improve efficiency in open-sea fish farming operations through intelligent harvest planning and automated sorting configuration.

Completed: September 2020

Research Team

** GOL Laboratory / University of Florence

Project partners

What has been done

1. Smart Cage Selection

Determines which cages to harvest from and how much fish to extract based on:

  • Daily customer orders (weight ranges + quantities)
  • Statistical distribution of fish in each cage
  • Optimal matching between supply and demand

2. Sorting Optimization

Configures automatic sorting equipment (up to 6 channels) to maximize order fulfillment and minimize waste.

Technology

  • Platform: Ubuntu Server, Python 3
  • API: RESTful web services
  • Optimization: Pyomo framework + optimization solver

Key Results

✓ Statistical modeling of fish weight distributions

✓ Multi-cage optimization significantly outperforms single-cage strategies

✓ Automated sorting configuration reduces waste and improves fulfillment

✓ Real-time decision support through API integration

Example Performance:

  • Two-cage optimized solution: perfect match across all weight classes
  • Single-cage alternatives: substantial mismatches and waste

Innovation

The system uses advanced mathematical optimization enabling:

  • Accurate harvest predictions
  • Optimal resource allocation
  • Minimized deviation from customer requirements

Status & Future

Current: Research prototype suitable for academic use and proof-of-concept

Potential: Commercial deployment, multi-species support, real-time farm integration