Funding Information
Funded by the Qatar Research, Development, and Innovation (QRDI) Council and the Ministry of Municipality (MoM) under the Food Security Call.
Project Overview
Aquaponics combines aquaculture and hydroponics into a sustainable food production ecosystem. This project integrates advanced AI technologies into aquaponics systems to improve automation, monitoring, prediction, and operational efficiency.
Research Objectives
Fish Health Monitoring
Plant Disease Detection
Environmental Monitoring
Intelligent Automation
Detailed Research Areas
Fish Health Monitoring
Develop AI-based models for detecting fish stress, disease, and abnormal behavior using sensor data, computer vision, and deep learning techniques.
Plant Disease Detection
Apply machine learning and computer vision approaches for early identification of crop diseases and nutrient deficiencies.
Environmental Monitoring
Monitor and optimize environmental conditions such as:
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pH
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Water temperature
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Dissolved oxygen
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Ammonia
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Nitrate
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Electrical conductivity
using IoT sensors and predictive analytics.
Intelligent Automation
Develop AI-powered decision-making systems using:
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Reinforcement Learning (RL)
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Markov Decision Processes (MDP)
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Federated Learning
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Edge AI
for intelligent aquaponics management.
Research Platform
The project establishes Qatar's first comprehensive AI-powered aquaponics research platform at the Qatar University Agricultural Research Station.
The platform includes:
Expected Impact
The project aims to:
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Strengthen food security in Qatar
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Reduce water usage
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Improve sustainability
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Minimize environmental impact
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Support smart agriculture innovation