Monitoring and Detection of Fruits and Vegetables Spoilage in the Refrigerator using Electronic Nose Based on Principal Component Analysis-Reference-Cited by-同舟云学术

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Monitoring and Detection of Fruits and Vegetables Spoilage in the Refrigerator using Electronic Nose Based on Principal Component Analysis

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )
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Author:

Caya Meo Vincent C.,Cruz Febus Reidj G.,Fernando Carolle Marian N.,Lafuente Roselle Marian M.,Malonzo Mark B.,Chung Wen-Yaw

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9055959/9072688/09072715.pdf?arnumber=9072715

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study;JMIR Formative Research;2024-07-03

2. Fruit Identification and Estimation of Calories Using YOLOv3 Algorithm;2024 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS);2024-06-29

3. An Electronic Nose Approach in Identifying Ripe Tomato Fruit Using LeNet-5 Structure;2024 7th International Conference on Information and Computer Technologies (ICICT);2024-03-15

4. A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study (Preprint);2024-03-12

5. A classification based on support vector machines for monitoring avocado fruit quality;PAMUKKALE U J ENG SC;2024

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