Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering

Experimental Study on the Detection of Tropical Fruit Quality Based on Gas Identification Technology

Authors
Yufei Wang, Wanzhen Zhang, Kun Zhang
Corresponding Author
Yufei Wang
Available Online July 2016.
DOI
10.2991/icsnce-16.2016.120How to use a DOI?
Keywords
Gas identification; Electronic nose; Agriculture products; Tropical fruits; Algorithm analysis
Abstract

The gas identification technique based on, real-time monitoring of electronic nose detection technology as the main research method, main products for Hainan tropical agricultural products, tropical fruits in storage and transportation of quality change for the purpose, to select the object, by electronic nose technology equipment for experimental test, were analyzed and compared with BP, PCA-BP, LDA-BP neural network algorithm, to obtain the objective data, to analyze the recognition performance and stability of the key technology of the electronic nose system.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
10.2991/icsnce-16.2016.120
ISSN
2352-5401
DOI
10.2991/icsnce-16.2016.120How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yufei Wang
AU  - Wanzhen Zhang
AU  - Kun Zhang
PY  - 2016/07
DA  - 2016/07
TI  - Experimental Study on the Detection of Tropical Fruit Quality Based on Gas Identification Technology
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 618
EP  - 622
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.120
DO  - 10.2991/icsnce-16.2016.120
ID  - Wang2016/07
ER  -