Abstract
Papaya is a tropical fruit with a green cover, yellow pulp, and a taste between mango and cantaloupe, having commercial
importance because of its high nutritive and medicinal value. The process of sorting papaya fruit based on maturely is one of the
processes that greatly determine the mature of papaya fruit that will be sold to consumers. The manual grading of papaya fruit based
on human visual perception is time-consuming and destructive. The objective of this paper is to the status classification of papaya
fruits if it's mature or partially matured or unmatured. A deep learning technique that was extensively applied to image recognition
was used. The trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach.
Classification model of VGG16 achieved a 100% accuracy and 112 seconds of training time.