An AI-driven stereographic vision system on a mobile platform enhances crop inspection and greenhouse mapping by using 3D data and AI algorithms for accurate health assessments, reducing manual labor and improving efficiency.
The AI-stereographic system is designed to revolutionize greenhouse crop inspection and mapping. By deploying a mobile robotic platform equipped with a sophisticated vision system, this technology offers a faster and more accurate alternative to traditional manual inspections. Utilizing 3D stereographic data and advanced AI algorithms, the system automatically identifies crop health issues such as diseases, nutrient deficiencies, and pest damage. This reduces reliance on manual labor and addresses the challenge of personnel shortages in agricultural settings.
The system is currently at Technology Readiness Level 4, meaning it has been validated in a lab environment. Future validation efforts will focus on testing in controlled greenhouse settings to compare system performance against traditional manual inspections, specifically measuring improvements in time efficiency and accuracy.
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.