Machine learning techniques for classifying the sweetness of watermelon using acoustic signal and image processing
Sweetness is an essential factor for assessing the internal quality of fresh watermelon. In this paper, a fusion non-destructive method for classifying watermelon sweetness based on acoustic signal and image processing techniques is proposed. Tapping sound signals, watermelon rind patterns, and weig...
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Main Authors: | Ketsarin Chawgien, Supaporn Kiattisin |
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Other Authors: | Mahidol University |
Format: | Article |
Published: |
2022
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Subjects: | |
Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/75736 |
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Institution: | Mahidol University |
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