Disease Detection in Citrus Fruits using Image Processing and Machine Learning Algorithms

Agricultures is used to detecting the area of disease on grading of the fruit. Based on the quality, the fruits are classified. An image segmentation is used to easily analyze the fruit image. Image segmentation method is used to identify the faults in fruits and affects the accuracy of the system. An automatic segmentation is used to identify the diseases, based on the quality of fruit. Detecting the price on a fruit and also minimize the cuts in the graph by using the graph cut method of segmentation. It can get the good results on grading.