Affiliation:
1. Sambalpur University, India
2. VSSUT, India
Abstract
India is the second-largest fruit producer in the world. But fruit identification, classification, and grading are carried out manually. Hence, most of the harvested fruit was wasted due to human perception subjectivity because there needed to be more qualified workers. Therefore, the fruit sector must impose an automated fruit detection system to distinguish among different types of fruits based on their variety, class, maturity, and intactness. With the right image processing concepts and machine learning approaches, it is possible to develop an automated system. With an emphasis on the advancement of state-of-the-art, this study provides a quick examination of the methodologies put out in the research publications from the last couple of years. Various methods are used to compare the relevant studies.
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