Abstract

Abstract: - A highly use of artificial intelligence (AI) in agriculture are most important in recent days. The technology use is a trending approach for development and innovation of agriculture. An India is the second largest onion produced country in the world. So in our proposed research works focused on identification and classification of healthy and defected onion. Use of deep learning technology which is types of artificial intelligence to solve the identified problem. The deep learning based Convolution Neural Network (CNN) architecture developed, train and tested on onion images datasets. The CNN model providing the performance metrics i.e. accuracy on training datasets is 97.59 % and 92.45% on testing. So, proposed model precisely identified thequality of onion and classified as healthy and defected onion. The onion model sorting and grading onions quality, which support of more production onions in the country. The onion farming ultimately gives more profit to the farmers, which motivates farmers for onion agriculture. Keywords: - Artificial Intelligence (AI), Deep Learning, Convolution Neural Network (CNN), Sorting and Grading (S & D, identification and Classification