Greenhouse Insight is an autonomous system utilizing real-time imaging and AI to enhance greenhouse management. It improves efficiency by rapidly identifying plant issues and optimizing resource use, supporting sustainable agriculture. The system features a user-friendly dashboard for remote monitoring.
Greenhouse Insight is a cutting-edge solution designed to revolutionize greenhouse management through the use of real-time imaging and AI-driven monitoring. By deploying high-resolution cameras on a linear guide rail system in X, Y, and Z directions, the system provides comprehensive coverage and rapid detection of plant health issues. This significantly reduces the need for time-consuming physical inspections, allowing for immediate attention to problems, thus optimizing resource use and supporting sustainable agricultural practices.
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The system is designed to integrate seamlessly into existing greenhouse infrastructure, making it a versatile tool for improving crop yields and resource management.
Currently at Technology Readiness Level 3, Greenhouse Insight has been validated in a laboratory setting and is undergoing further trials to optimize performance and validate improvements. Future validation plans include comparative studies and stakeholder feedback to ensure it meets the standards for widespread adoption.
IFMT is a public, multi-campus federal institute in Mato Grosso with a mandate for professional education, applied research, and innovation. Its Systemic Directorate for Technological Innovation and Entrepreneurship brokers partnerships with companies and regional productive arrangements, linking them to labs and prototyping spaces across campuses. The Ativa incubator and the institution’s technology innovation agency (NIT) offer venture support, IP and licensing services, and clear paths for sponsored R&D. The institute collaborates with the Mato Grosso Technology Park in the Cuiabá–Várzea Grande area and was credentialed to host an EMBRAPII unit, streamlining co-development with private R&D teams. Projects are backed by competitive public funding from agencies such as CNPq, FAPEMAT, CAPES, and Finep, with cost-sharing models that align resources to industry demand.