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About Fruit Quality Evaluation Using Machine Learning Techniques - Review, Motivation and Future Perspectives
This document reviews machine learning techniques for fruit quality evaluation. It discusses how quality evaluation is important for agriculture and food processing. While quality can be evaluated manually, automation provides more consistent and time-efficient evaluations. The review covers feature extraction methods like shape, size, color and texture. It also compares different machine learning classification techniques used in previous research like k-nearest neighbors, support vector machines and neural networks. The review finds machine learning models are popular for fruit quality classification and aims to identify future research opportunities in this area.
Detailed Information
| Author: | ['Dang VH'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 23 |
| Language: | English |
| Format: | |
| Price: | FREE |
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