The “Da Vinci Trend” methodology aims to integrate emerging technologies, such as intelligent vision, into unconventional sectors like small-scale agriculture, social sciences, and risk prevention. Its purpose is to break traditional educational barriers by fostering interdisciplinary collaboration. The research focuses on the Ketran Agrotech project, which utilizes intelligent vision in low-cost agricultural robots to assist small organic farmers, standing out in the Agriculture 4.0 revolution. The project employs simple prototyping devices that, together with a teaching method, evolve into high-end industrial devices. The “Da Vinci Trend” methodology engages students from non-technological disciplines in the development and application of traditionally analog processes, promoting interdisciplinary learning and knowledge transfer between academic, industrial, and rural sectors. The key question is: How can intelligent vision in agricultural robotics inspire student participation in the development of emerging technologies in the rural agricultural sector? The “Da Vinci Trend” approach not only expands educational opportunities but also drives innovation through interdisciplinary collaboration, contributing to the advancement of digital agriculture and the adoption of technologies in rural communities. Rubrics and measurement guidelines, along with published results, reflect a positive impact on student participation and the development of new skills, aligning the methodology with the project’s objectives.