A Review of Mango Fruit Disease Detection and Pesticide Suggestions

The mango tree is susceptible to a number of illnesses during its whole life cycle. Disorders in mango fruit are a significant source of economic losses and loss of production in the agricultural business worldwide, particularly in developing countries. This chapter presents a method for detecting and classifying mango fruit diseases that have been experimentally validated and demonstrated to be effective. The following actions make up the image processing–based technique that has been suggested as a solution: The first step in the process involves using the K-means clustering technique to segment an image; the second step involves extracting some features from the segmented image; and the final step involves using a support vector machine and a k-nearest neighbor, respectively, to classify the images into one of the classes. Our experimental results demonstrate that the proposed system can significantly improve the accuracy with which mango fruit diseases are detected and classified and their classification automatically.