Paper Key : IRJ************468
Author: Mohit Dhabale,Ayush Shirbhate,Lokesh Nandurkar,Samay Modak,Vedika Sakharkar,Dr. (mrs.) J. M. Bhattad
Date Published: 01 Apr 2025
Abstract
ABSTRACT:-Fruits require much more easier and automated checking if they are to meet the high quality demanded in the fruit market. This paper designs an automated conveyor belt system using Arduino and machine learning for apple classification based on quality. The setup includes a conveyor belt, camera module, and machine learning algorithm that identifies defects in apples from their exterior surface. As apples convey along the belt, images of them are taken and then analyzed through a learned ML model using good and bad apples data set. The analysis carried out by the system determines whether an apple is classified as good or bad. Apples that are good move ahead; there is a servo-controlled gate for leaving behind the bad apples to collect them separately within one container. That will help in making accurate, efficient, and quick fruits checks hence human error will be eliminated giving more time savings during sorting checked by agriculturists.Keywords: Arduino, Machine Learning, Conveyor Belt, Image Processing, Apple Sorting, Automation.
DOI Requested