Banana farms are under risk from a variety of diseases, including Black Sigatoka and Panama sickness, as well as fertilizer shortages. Accurate and prompt identification of these issues is necessary to halt financial losses and promote sustainable practices. For the identification and classification of leaf diseases and their deficiencies based on the visual cues automatically, YOLOV8 is one of the latest detection models to detect the illness of banana leaves and improve the yielding capacity. Yolov8 is the state-of-the-art model to detect diseases very accurately and efficiently. It helps to prevent the illness of plants, disease detection, and improve the yielding capacity.