Exploring computer vision, machine learning, and robotics applications in banana grading: A review

Joshua Kyle Beltran, Dominee Kyle Ibarlin *, Mark Ivan Mapa and Edwin Romeroso Arboleda

Department of Computer, Electronics, and Electrical Engineering, Cavite State University, Indang, Cavite, Philippines 4122.
 
Review
International Journal of Science and Research Archive, 2024, 11(01), 1159–1166.
Article DOI: 10.30574/ijsra.2024.11.1.0180
Publication history: 
Received on 22 December 2023; revised on 30 January 2024; accepted on 02 February 2024
 
Abstract: 
This paper presents a literature study on the applications of Artificial Intelligence (AI) in banana grading. The traditional approach of banana grading, primarily dependent on manual labor, is not only time-consuming but also receptive to subjective variations. The need for more accurate and efficient solutions has become increasingly necessary. With the help of AI technology, we can better address the evolving challenges and demands in automating the grading processes of banana-related agriculture. The study focuses on three sub-domains of AI: Computer Vision, Machine Learning, and Robotics. This research reviews the application of AI techniques in Banana Grading to help individuals understand the significant development of banana-related agricultural systems in the past few years.
 
Keywords: 
Artificial Intelligence; Banana Grading; Computer Vision; Machine Learning; Robotics
 
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Copyright information: 

Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0