Technology Overview

Powering the Future of Food

INNOECOFOOD deploys a cutting-edge technology stack — combining artificial intelligence, Internet of Things sensors, renewable energy systems, and circular production principles — to optimize every aspect of aquaculture production across six African countries.

Our technology deployment targets Technology Readiness Level 7 (TRL7), meaning all systems are demonstrated in an operational environment, ready for real-world scale-up.

AI
Monitoring
IoT
Sensors
TRL7
Readiness
Core Technologies

Six Technology Pillars

Each pillar directly supports the production, processing, and commercialization of sustainable aquaculture value chains.

Artificial Intelligence

Artificial Intelligence

AI algorithms monitor and optimize production parameters in real time — from water quality and feeding schedules to growth predictions and disease detection in fish, spirulina, and insect production.

Fish Growth AI Spirulina Characterization Disease Detection Feed Optimization
IoT Sensors

IoT Sensor Networks

Networked sensors throughout ECOHUBs and living labs continuously monitor water temperature, pH, dissolved oxygen, salinity, and feed consumption — generating real-time data for AI analysis.

Water Quality Real-Time Data Remote Monitoring Smart Alerts
Solar Energy

Renewable Energy

All ECOHUB operations are powered by solar and wind energy systems. Sparky solar-powered multi-purpose driers, solar tunnel driers, and portable SPARKY driers enable off-grid processing across all sites.

Solar Drying Wind Power Off-Grid Systems SPARKY Driers
Circular Systems

Circular Systems

Fish waste and by-products are upcycled into novel food products and animal feeds. Reduced water consumption and closed-loop nutrient cycling make ECOHUB production truly circular and sustainable.

Waste Upcycling Nutrient Recovery Reduced Water Use Zero Waste
Advanced Processing

Advanced Processing

Extrusion technology, solar-powered drying, and innovative chilling processes convert raw aquaculture outputs into certified, shelf-stable, market-ready human food products and animal feeds.

Extrusion Solar Drying Novel Products Market-Ready
Molecular Characterization

Molecular Characterization

Spirulina species from lake locations are characterized using molecular biology techniques to identify variants with high protein content, anti-pollution properties, and high phycocyanin concentration.

Molecular Biology Spirulina Strains Phycocyanin Genomics
AI & IoT in Practice

Smart Monitoring
in Every ECOHUB

From the moment fingerlings enter the cage to the final certification of products, AI and IoT technology sits at the heart of INNOECOFOOD's operations — ensuring efficiency, sustainability, and quality.

Fish Production Monitoring

Tilapia and catfish innovative production using AI-optimized feeding, growth tracking, and disease early-warning systems.

Spirulina AI Optimization

Molecular biology-guided strain selection combined with AI-sensor monitoring for biomass yield, protein content, and phycocyanin levels.

Insect Production AI

Crickets, black soldier flies (BSF), and wild locust harvesting — with AI-controlled environmental conditions for maximum sustainable yield.

Post-Harvest Intelligence

AI sensors in extrusion and solar drying equipment maintain optimal processing parameters and automatically adjust for ambient conditions.

Smart ECOHUB Architecture
End-to-End Technology Framework
Edge IoT Sensing Layer Water & Climate
AI Analytics Engine Predictive Insights
Solar & Renewable Power Clean Energy
HACCP & Food Quality Control TRL7 Certified
Digital Capacity Building Living Labs
7 Technology Readiness Level

Operational Demonstration Ready

TRL7 means our technologies are demonstrated in an operational environment — not just laboratory or prototype stage, but proven in real communities, real EcoHubs, and real-world aquaculture conditions across Africa.

Explore Work Packages →