Ripe-Unripe: Machine Learning based Ripeness Classification

Abstract

Agro and Food Processing industries have seen tremendous growth in a short period. These industries daily process the bulk of farm produce to make a variety of products. This paper aims to propose technology for automating the process of fruits based on the ripeness using Machine Learning and Computer Vision technology. The system will also be able to log the data of the fruits in processing using which the output of the product can be estimated. The system uses a CNN algorithm to classify the fruits and ripeness. This work could also be used to analyze large fields for cultivation using drones or robots.