Bangladeshi Fresh-Rotten Fruit & Vegetable Detection Using Deep Learning Deployment in Effective Application

Abstract

Growing fruit and vegetables has long been a component of Bangladeshi agricultural methods. Today's rapidly changing our farming techniques for cultivate fruits and vegetables. Because our country's farmers now grow all fruits and vegetables all year round. Winter fruits and vegetables are not just available in the winter, as it was in past times. For this reason, Fruits and vegetables frequently rotten. We started this study project in order to prevent this rotting fruit, vegetable. Our methodology in the most current developments in deep learning and computer vision is to identify if a fruit or vegetable is fresh or rotten. Artificial intelligence and machine learning are widely used. After that, we built a device directly here. An intelligent, quick, and perceptive technology can differentiate between fresh and spoiled fruits and vegetables. We utilize the Python CNN algorithm here to categorize rotting and clean fruit as well as fresh and rotten vegetables. We also compare our CNN algorithm with KNN and SVM but CNN algorithm is far better than KNN, SVM. By using photographic data, this gadget can determine how much fruit or vegetable is rotting and how fresh it is. Our aim is to reach all the general people for this reason we also build android platform. Here user click one picture then our system automatically generates and show the result We believe, it will be advantageous for all farmers, business owners, and common people.