Machine learning techniques for classifying the sweetness of watermelon using acoustic signal and image processing

• المؤلفون الرئيسيون: Ketsarin Chawgien, Supaporn Kiattisin
• مؤلفون آخرون: Mahidol University
• التنسيق: مقال
• منشور في: 2022
• الموضوعات: Agricultural and Biological Sciences; Computer Science
• الوصول للمادة أونلاين: https://repository.li.mahidol.ac.th/handle/123456789/75736

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...