A cost-effective dual-camera system using color and NIR imaging for real-time monitoring of plant health in greenhouses, enhanced by machine learning analysis.
The Mobile Dual-camera System offers an innovative approach to monitoring greenhouse plants by utilizing a pair of color and near-infrared (NIR) cameras mounted on a moving rail. This system captures comprehensive data on plant health and status through various vegetation indices, such as the Visible Atmospherically Resistant Index (VARI) and the Normalized Difference Vegetation Index (NDVI). With the integration of machine learning (ML) analysis, this system facilitates real-time assessment and informed decision-making, optimizing crop growth management in large-scale greenhouses.
The system is currently at Technology Readiness Level 3, having completed initial design and testing phases. Future validation includes extensive experimentation and data collection at the Czech University of Life Sciences, Prague, followed by ML model training and accuracy validation.
Czech Technical University in Prague is a major public technical university and research institution serving Prague and Central Europe. Industry engagement is structured around co-located labs and testbeds anchored by the Czech Institute of Informatics, Robotics and Cybernetics (CIIRC), supporting prototyping, validation, and integration with corporate partners, including an open Industry 4.0 testbed. The main campus in Dejvice provides close access to Prague’s corporate and startup ecosystem and facilitates joint labs with manufacturers. Research is backed by competitive national and European funding. A centralized technology transfer office manages IP and licensing, and a new entrepreneurship program connects faculty and students with venture investors.