Abstract

AgroScan is a mobile application designed to support farmers and students in the department of Sucre, Colombia, in the early detection of diseases affecting cassava crops using artificial intelligence (AI). By capturing leaf images with mobile phones, the system analyzes visual symptoms to identify potential diseases. This project offers an accessible and educational technological solution that strengthens the agricultural sector, enhances crop yields, and promotes the adoption of emerging technologies in rural contexts. AgroScan addresses the critical need for early disease diagnosis, contributing to economic development, technological education, rural inclusion, and sustainable agricultural practices.