Automatic Optical Imaging System for Mango Fruit using Hyperspectral Camera and Deep Learning Algorithm

This research paper explores focused on developing an automatic mango fruit quality detection system using a combination of artificial intelligence and the Internet Things technologies. The utilizes hyperspectral camera to capture images image processing techniques analyze images. Deep learning algorithms are employed classify based parameters such as ripeness, size, color. proposed aims automate inspection process, improve accuracy assessment, reduce human error. results this could have applications in food industry, specifically field sorting. Mango Fruit, Hyperspectral Camera, Image Processing, Learning algorithms, Quality Recognition.