Classification of Citrus Canker and Black Spot Diseases using a Deep Learning based Approach

Diseases in plants is one of the main factor which causes the economic losses in the perspective of agriculture and fruits production. Manual inspection of fruits is costly and time taking which sparks the interest of researchers for coming up with solutions to reduce labor and cost. Diseases are main cause of reduced productivity which in turn results in financial losses, so the early detection and prediction of diseases is one of the areas of research. Citrus is a key source of nutrients and is usually affected by various diseases which results in lower yield of citrus fruit with lower quality. The proposed approach is for the classification of citrus disease detection by deploying the deep learning approach. Afterwards, the proposed approach is compared with previously known citrus detection approaches