Ai-driven multispectral vision for greenhouse crop stress monitoring
Visual Inspektor adapts multispectral imaging and AI to monitor crop stress in greenhouses, enhancing technicians' decision-making and improving crop health outcomes.
Overview
The AI-driven multispectral vision system leverages advanced imaging and machine learning technologies to enhance the monitoring and management of crop stress in greenhouse environments. By adapting the proven Visual Inspektor technology, initially designed for power line inspection, this solution integrates multispectral imaging with machine learning to identify crop stressors effectively. This innovative approach ensures technicians can make informed decisions in real-time, leading to improved crop health and yield.
Technical specifications
Key features:
- Multispectral imaging: Utilizes both visible and infrared spectra to capture comprehensive plant health data, detecting visual and temperature anomalies.
- AI-driven analysis: Employs machine learning models pre-trained with artificially generated images to classify biotic and abiotic stressors accurately.
- Real-time monitoring: Features a dashboard that provides immediate updates and guides technicians to stressed areas for focused interventions.
- Leaf-level diagnostics: Analyzes individual leaves to deliver precise stress classification and actionable countermeasures via a messenger service.
Technology readiness level
The system is currently at TRL 5, having successfully integrated and tested its core components in a controlled research greenhouse environment. The ongoing development focuses on refining the AI models and enhancing system adaptability to various crop types and conditions, with plans for further validation and deployment in practical settings.
About Universidade Federal de Pernambuco
Universidade Federal de Pernambuco (UFPE) is a comprehensive public research university in Recife, serving Pernambuco and Brazil’s Northeast with sizable enrollment and a strong applied research culture. Industry engages through shared-use labs, prototyping spaces, and testbeds, plus clinical research integrated with its university hospital. Its proximity to Recife’s established technology district supports internships, embedded company teams, and joint development with startups and global firms in the region. Research is supported by competitive Brazilian funding from agencies such as CNPq, CAPES, FINEP, and the Pernambuco state foundation, alongside corporate and international partners. A dedicated technology transfer office manages IP, licensing, and startup formation, connecting companies to faculty expertise and talent pipelines.
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