Supervised Machine Learning Approach for Pork Meat Freshness Identification-Reference-Cited by-同舟云学术

Supervised Machine Learning Approach for Pork Meat Freshness Identification

Published:2019-12-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 6th International Conference on Bioinformatics Research and Applications
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Author:

Lumogdang Christell Faith D.¹,Wata Marianne G.¹,Loyola Stephone Jone S.¹,Angelia Randy E.¹,Angelia Hanna Leah P.¹

Affiliation:

1. College of Engineering Education, Computer Engineering Program, University of Mindanao, Davao City, Philippines

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3383783.3383784

Reference21 articles.

1. (2019). Meat and Animal Feed. [online]Available: httpas://www.globalagricultural.org (2019). Meat and Animal Feed. [online]Available: httpas://www.globalagricultural.org

2. Handheld Meat Freshness Detecting Device;Vicente V.;CAITE,2018

3. Meat Spoilage Mechanisms and Preservation Techniques: A Critical Review;Dave D.;American Journal of Agricultural and Biological Sciences,2013

4. Spectral absorption index in hyperspectral image analysis for predicting moisture contents in pork longissimus dorsi muscles

5. S. Li S. Chen B. Zhou L. Qiaofeng W. Liu and X. Guo "Flexible Ammonia Sensor Based on PEDOT: PSS/Silver Nanowire Composite Film for Meat Freshness Monitoring " IEEE no. DOI 10.1109/LED.2017.2701879 2017. S. Li S. Chen B. Zhou L. Qiaofeng W. Liu and X. Guo "Flexible Ammonia Sensor Based on PEDOT: PSS/Silver Nanowire Composite Film for Meat Freshness Monitoring " IEEE no. DOI 10.1109/LED.2017.2701879 2017.

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