At AR&TeCS, we continue our R&D activities combining multispectral imaging and artificial intelligence to support the early detection of plant diseases in agricultural production.
As part of our project, “AI-Powered Early Disease Detection System Using Multispectral Imaging for Tomato Greenhouses,” we are conducting image acquisition and experimental data collection in a greenhouse environment.
Our work focuses on leveraging the visual and spectral characteristics of plants to develop approaches for identifying potential disease symptoms at an early stage. By analysing the collected imagery using AI-based methods, we aim to support plant health assessment and data-driven decision-making in agricultural production.
At AR&TeCS, we aim to contribute to more efficient and sustainable agriculture by bringing together imaging technologies, artificial intelligence, and smart farming applications.
