An advanced IoT-based greenhouse management system that uses deep learning to automatically control CO2 release and environmental parameters (temperature, humidity) to accelerate plant growth. Built on proven building energy management expertise demonstrating 50% energy savings, adaptable to greenhouse-specific demands for various plant types.
This solution offers an advanced IoT-based smart control system designed to optimize greenhouse environment management and accelerate plant growth. The system integrates IoT sensors with deep learning control strategies to automatically regulate greenhouse conditions, including CO2 release, temperature, and relative humidity. By adapting advanced building management expertise to greenhouse-specific requirements, the system aims to improve plant growth rates while evaluating the economic potential of environmental management automation.
Key features:
The technology is currently at an early-to-mid development stage. The team has already built and validated a testbed integrated with IoT technology for office building management, demonstrating approximately 50% energy savings through deep learning control. Future validation will involve developing the IoT-based environment management system specifically for greenhouse applications, testing optimal CO2 release strategies, and comparing temperature and humidity effects on plant growth across different plant types. The system will be evaluated for its economic potential in commercial greenhouse operations.
The National University of Singapore is a comprehensive public research university and the country’s flagship, known for a global, collaborative culture. Industry partners access co‑located corporate labs, shared core facilities, and an integrated academic health system that supports clinical translation at scale. Campuses border the one‑north and Singapore Science Park innovation districts, linking companies to deep‑tech startups, government research institutes, and multinational R&D hubs. Research is powered by competitive national funding from the National Research Foundation Singapore, A*STAR, and the Ministry of Education, alongside international consortia and industry‑sponsored programs. A dedicated technology transfer office and enterprise programs handle IP, licensing, and venture creation, offering streamlined engagement models, pilots, and access to talent.