Fruit Identification and Classification Using Machine Learning

The most important factor in selecting fresh fruits is their identification and quality indication. We cannot inspect every fruit since it would take too much time and effort, and we always want to buy the freshest fruits when we go shopping. Fruits can get harmed, rotten, and impacted by their environment. With the aid of image processing and machine learning, we can recognize fruits and classify them into different classes, making it simple for anyone to choose the fresh fruit available. In this chapter, we offer a useful technique for classifying and identifying fruits. We used supervised learning to train the model for classification. With the help of Keras sequential model for multi-class classification, we implemented the CNN. Nonetheless, because of the similarities in colour, shape, and size of fruits, researchers continue to have difficulty in classifying them. By creating a good model for the identification and classification of fruits, this effort aims to address some of the difficulties encountered by the earlier researchers.