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​ Funding Information

Funded by the Qatar Research, Development, and Innovation (QRDI) Council and the Ministry of Municipality (MoM) under the Food Security Call.

Project Summary

The project aims to advance the efficiency, scalability, and reliability of aquaponics systems through the integration of Artificial Intelligence (AI), Machine Learning (ML), Computer Vision (CV), and Internet of Things (IoT) technologies. The research focuses on fish health monitoring, plant disease detection, environmental monitoring, and intelligent automation for sustainable food production. The project will establish Qatar’s first comprehensive AI-powered aquaponics research platform at the Agricultural Research Station of Qatar University in collaboration with Wageningen University & Research (The Netherlands) and Akdeniz University (Türkiye), contributing directly to Qatar’s National Food Security Strategy.

Key Objectives

Fish Health Monitoring using AI
Plant Disease Detection
Environmental Monitoring via IoT
Federated Learning & Edge AI
Sustainable & Scalable Production

Project Duration

36 Months

Lead Institution

Qatar University

Main Collaborators

  • Wageningen University & Research, Netherlands
  • Akdeniz University, Türkiye

Content Editor ‭[1]‬