An electronic nose system for the monitoring of water cane shoots quality with swarm clustering algorithm-Reference-Cited by-同舟云学术

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An electronic nose system for the monitoring of water cane shoots quality with swarm clustering algorithm

Published:2020-09-21 Issue:1 Volume:41 Page:
ISSN:0149-6085
Container-title:Journal of Food Safety
language:en
Short-container-title:J Food Saf

Author:

Xu Meng¹,Zhou Junzheng¹,Zhu Peiyi¹^ORCID

Affiliation:

1. School of Electric and Automatic Engineering Changshu Institute of Technology Suzhou China

Funder

Jiangsu Planned Projects for Postdoctoral Research Funds

National Natural Science Foundation of China

Publisher

Wiley

Subject

Microbiology,Food Science,Parasitology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfs.12860

Reference34 articles.

1. A stable hyperparameter selection for the Gaussian RBF kernel for discrimination

2. An Empirical Study for PCA- and LDA-Based Feature Reduction for Gas Identification

3. Monitoring the Freshness of Moroccan Sardines with a Neural-Network Based Electronic Nose

4. Effects of equipment and processing conditions on quality of fresh‐cut produce;Ansah F.;Journal of Agricultural Engineering,2018

5. Dynamics of growth, carbon and nutrient translocation in Zizania latifolia

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1. Advances in gas sensors and electronic nose technologies for agricultural cycle applications;Computers and Electronics in Agriculture;2022-02

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