On June 17, 2025, students from the Faculty of Agriculture at the University of Jember participated in a learning session focused on the application of image-based technology in agriculture. The session introduced how smart vision systems can be used to automatically classify different crop types and detect plant diseases at an early stage.

Rather than focusing solely on theory, the session included real-world examples demonstrating how tools such as cameras, image processing algorithms, and artificial intelligence (AI) are being used to visually assess plant conditions. These technologies are a core part of precision agriculture, where visual data supports faster and more accurate decision-making in the field—such as identifying disease symptoms or determining the right time to apply pesticides.

In an interactive format, students were guided through the workflow of these systems—from capturing plant images, to analyzing them using computer models, and finally interpreting the results to take practical actions. Through this hands-on exploration, students gained valuable insight into how digital technologies are transforming modern farming and learned about the significant role that innovation plays in enhancing productivity and efficiency in crop cultivation.