CNN(Convolutional Neural Network) based pest and damage fruit classification device and method

摘要

The present invention uses CNN-based diseases and damaged fruits as a classification device and method, and photographs fruits through a camera installed in plural in a farm, and based on this, uses a convolutional neural network, which is one of deep learning technologies. Therefore, fruits that are damaged in appearance by fruits or external factors caused by pests are classified. This can help the primary sorting task, which requires the most manual effort.