A Convolutional Artificial Intelligence for Disease Classification in Fruits and Vegetables

Abstract

Diseases of fruits and vegetables pose a serious threat to economic losses and productivity in the agricultural industry. The old way of diagnosing and diagnosing these diseases is based on the physical examination of specialists, which is very expensive to consult with them and is time-consuming. We should identify the disease in fruits and vegetables as soon as possible in the final stage, we should remove the defective fruit or it will spread to other fruits and vegetables. Therefore, our program aims to diagnose fruit and vegetable diseases using image classification and demonstrates diagnostic-based diagnoses. The minimum requirement for building this project is to have a decent computer and a python to use the driver code. We use CNN (Convolutional Neural Networks) to identify fruits and vegetables and diseases through several built-in python libraries.