DETECTION OF DISEASES ON BANANAS (MUSA SP.) USING IMAGE PROCESSING AND MACHINE LEARNING TECHNIQUES

Bananas, whose demand is very high in the global market, are considered one of the best agricultural export products in the Philippines - a country where agriculture plays a significant role in economic development. However, diseases in bananas have caused significant losses to farmers over the years due to low yields, as it significantly affects the growth and quality of the fruits. To solve the problem, studies have shown that early detection of diseases in bananas is essential for the local farmers to determine a cost-effective control measure to perform which helps reduce the infestation, if not eradicate it. Since image processing has proven to be an effective tool for classification and analysis, it was used as the focus of the study.