AgroScan is a mobile application designed to support farmers and students in the Department of Sucre in the early detection of diseases affecting cassava crops through the use of artificial intelligence (AI). By capturing photographs with mobile phones, the system analyzes cassava leaves to identify signs of disease. This project offers an accessible and educational technological solution that strengthens the agricultural sector, improves crop yields, and promotes the learning of emerging technologies in rural contexts.
Abstract AgroScan is a mobile application designed to support farmers and students in the Department of Sucre in the early detection of diseases affecting cassava crops through the [...]
AgroScan: A Mobile Application for Diagnosing Cassava Diseases through Image Recognition and Artificial Intelligence in Sucre, Colombia 
