Mango is the popular tropical fruit that is consumed all around the world. India is the largest producer of mango and
it is exported to many countries. Proper classification of mango is must in agro-based industries. The conventional methods were
time-consuming and tedious. The aim of this paper is to develop an automated system which can recognize and classify mango
images. The identification of mango species is necessary in Indian market. Hence in this proposed paper, a deep learning
approach known as Convolutional Neural Networks (CNN) using transfer learning is used to classify mango species with high
accuracy and implemented by retraining the pretrained CNN.
