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.
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