Applications of electronic nose and machine learning models in vegetables quality assessment: A review-Reference-Cited by-同舟云学术

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Applications of electronic nose and machine learning models in vegetables quality assessment: A review

Published:2023-01-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Emerging Trends in Engineering, Sciences and Technology (ICES&T)
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Author:

Anwar Hassan¹,Anwar Talha²,Murtaza Mian Shamas¹

Affiliation:

1. MNS-University of Agriculture,Department of Food Science and Technology,Multan,Pakistan

2. Independent Researcher,Multan,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10138803/10138804/10138839.pdf?arnumber=10138839

Cited by 3 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. Impact of Digital Transformation and AI through Fostering Digital Leadership Excellence: A Focus on Sustainable Organizational Performance;Journal of Accounting and Finance in Emerging Economies;2024-03-31

2. APPLICATION OF ELECTRONIC NOSE AND MACHINE LEARNING IN DETERMINING FRUITS QUALITY: A REVIEW;The Journal of Animal and Plant Sciences;2024-01-29

3. Research on Gas Recognition Pattern of Urinary Disease Markers Based on Machine Learning;Modeling and Simulation;2024

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