Coffee wilt diagnosis application (CWDA)

Abstract

This project focuses on detecting or diagnosing Coffee Wilt Disease (CWD) on coffee plants by mainly farmers in Uganda. We came up with a working solution that could help them to easily diagnose CWD while in their plantations. The data were collected from individuals in Mukono district by using pre-tested questionnaires and interview guides. Descriptive statistics such as mean and percentage and numerical analysis were employed to analyze average total cost of coffee production before and after being hit by CWD. The levels of education attained by the farmer and the skills or training attended by the farmer were also assessed to help us in the design of our system.