Watermelons Talk: Predicting Ripeness through Tapping-Reference-Cited by-同舟云学术

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Watermelons Talk: Predicting Ripeness through Tapping

Published:2024-07 Issue:4 Volume:7 Page:154-161
ISSN:2576-3180
Container-title:IEEE Internet of Things Magazine
language:
Short-container-title:IEEE Internet Things M.

Author:

Lin Yun-Wei¹,Lin Yi-Bing²,Chen Wen-Liang³,Chang Chia-Hui⁴,Li Han-Kuan¹

Affiliation:

1. College of Artificial Intelligence, Yang Ming Chiao Tung University (NYCU),ROC

2. NYCU, China Medical University, Miin Wu School of Computing National Cheng Kung University, and Research Center for Information Technology Innovation, Academia Sinica,ROC

3. College of Biological Science and Technology, NYCU,ROC

4. Industrial Development Graduate Program of College of Biological Science and Technology,ROC

Funder

National Science and Technology Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8548628/10574189/10574236.pdf?arnumber=10574236

Reference15 articles.

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

2. Towards a Real-Time Oil Palm Fruit Maturity System Using Supervised Classifiers Based on Feature Analysis

3. A cross-domain fruit classification method based on lightweight attention networks and unsupervised domain adaptation

4. Watermelon Ripeness Detector Using Signal Processing

5. Classification of fruits ripeness using CNN with multivariate analysis by SGD

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