Greenhouse plant health monitoring with AI and low-cost cameras
A cost-effective AI-driven solution for greenhouse plant health monitoring using low-cost RGB-IR cameras and multi-view models to fuse spectral data, enhancing assessment without expensive sensors.
Overview
This innovative solution leverages low-cost RGB-IR cameras combined with advanced artificial intelligence models to monitor plant health in greenhouses. By integrating multi-view multitask models like Mirror U-NET, the system fuses data from RGB images and agricultural indexes such as TGI, GRVI, and NDVI. This approach aims to provide a comprehensive assessment of plant health, offering an affordable alternative to traditional, more expensive monitoring systems.
Technical specifications
- AI Model: Utilizes Mirror U-NET for multi-view multitask learning.
- Data Inputs: Combines RGB images with Triangular Greenness Index (TGI), Green-Red Vegetation Index (GRVI), and Normalized Vegetation Index (NDVI) for enhanced accuracy.
- Camera Setup: Employs cost-effective RGB-IR cameras.
- Potential Outputs: Models plant health and other relevant outputs for greenhouse management.
- Future Enhancements: Includes development of a user-friendly GUI and methods for digital field shadowing.
Technology readiness level
This technology is currently at a Technology Readiness Level 2, indicating the formulation of technology concepts and applications, with plans for experimental validation and model performance assessment underway.
About Tecnológico de Monterrey
Tecnológico de Monterrey is a leading private, multi-campus research university in Mexico, recognized for entrepreneurship and industry collaboration. Its Monterrey headquarters anchors an urban innovation district with open lab space, prototyping, and shared testing facilities that welcome corporate collaborators. An integrated health system supports clinical research and translation, while structured internships and challenge-driven partnerships connect companies with faculty and student talent year-round. Research is supported by competitive federal funding through Mexico’s national science and technology council, along with industry contracts and international sponsors. A dedicated technology transfer office manages IP, licensing, and startup formation.
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