Machine Vision and Machine Learning based Fruit Quality Monitoring

Abstract

The efficiency of the logistics of agricultural food needs to assure that its products are safe and of quality. This would earn the trust of consumers. To provide smart farming and packing solutions, the proposed work is an intelligent system using machine learning and image processing on Apple quality detection. The Apple image dataset was used with two stages of fruit, one is healthy and another one is damaged. The machine learning model is trained with this dataset to identify the fruit quality. The proposed technique uses feature extraction using image processing technique and SVM algorithm is applied to train and detect the quality of fruit.