Research Areas
FIT4CEA develops and validates innovations across the full range of CEA sustainability dimensions environmental, economic, and social.
Machine learning and computer vision for real-time crop monitoring, predictive analytics, and autonomous decision-making. Our AI systems process environmental data from thousands of sensors to optimise growth conditions dynamically.
Connected sensor networks and robotic systems for precision planting, harvesting, and environmental control. We develop integrated IoT architectures that enable seamless data flow across greenhouse and vertical farm environments.
Advanced LED spectral tuning and light recipes optimised for crop-specific growth, quality, and energy efficiency. Our photonics research explores the full spectrum of light-plant interactions in controlled environments.
Closed-loop hydroponic and aquaponic systems with real-time nutrient monitoring, reducing water use by up to 90% compared to open-field farming. We develop sustainable nutrient delivery and recycling technologies.
Solar, geothermal, and waste-heat recovery systems integrated into CEA operations for fossil-free, carbon-neutral food production. We design energy systems that match the unique demand profiles of controlled environments.
Investigating new food crops with enhanced nutritional profiles including micronutrients, proteins, and bioactive compounds. We explore microgreens, edible flowers, and specialty vegetables optimised for CEA production.