Grading of Harvested Mangoes Quality and Maturity Based on Machine Learning Techniques

it is very important to do proper grading fruits to increases profit of the agriculture and food industries. Here in this project we are going to propose the technique for mango grading automatically according to the features of fruit consider to grade quality. Those features are size, shape, color and surface pixel. In this system mangoes are graded in four types like Green Mango, Yellow Mango and Red Mango which are based on machine learning method. This system considers RGB values size and shape of mangoes. Posterior analysis is used to obtained good probability. This helps to train system to detect appropriate maturity of mangoes. This experiment is conducted on two machine learning method i.e. Naive Byes and SVM (Support Vector Machine) compare the performance of both based on accuracy and defective pixels. From the previous system, this system gives the more accuracy as posterior analysis is used.