Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)

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A New Algorithm for Feature Extraction of Plant Diseases and Insect Pests Signal Based on Optimal Wavelet Packet and Non-negative Matrix Factorization

Authors
Changcheng Li, Shuyun Cai, Laiwu Yin
Corresponding Author
Changcheng Li
Available Online September 2016.
DOI
10.2991/icence-16.2016.91How to use a DOI?
Keywords
Plant diseases and insect pests, feature extraction, optimal wavelet packet basis, non- negative matrix factorization, algorithm optimization
Abstract

Plant diseases and insect pests have similar symptoms, but it is difficult to distinguish between professional and technical personnel to identify plant diseases and insect pests. In order to accurate extraction of plant diseases and insect pests, physiological and pathological characteristics of signal, puts forward a based on lifting wavelet transform feature extraction algorithm optimization scheme, for the study of plant diseases and insect pests damage signal showing the effect of the prior farmers identify any disease, choose the correct method of governance, quickly make the right decision, improve farmers plant diseases and insect pests, harm signal feature extraction and recognition level. The simulation results show that this algorithm can be used to optimize the stability and convergence, and can be used as an ideal plant disease and insect pests signal feature extraction optimization algorithm, which can effectively identify the different plant diseases and insect pests.

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 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
10.2991/icence-16.2016.91
ISSN
2352-538X
DOI
10.2991/icence-16.2016.91How 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

risenwbib
TY  - CONF
AU  - Changcheng Li
AU  - Shuyun Cai
AU  - Laiwu Yin
PY  - 2016/09
DA  - 2016/09
TI  - A New Algorithm for Feature Extraction of Plant Diseases and Insect Pests Signal Based on Optimal Wavelet Packet and Non-negative Matrix Factorization
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 480
EP  - 485
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.91
DO  - 10.2991/icence-16.2016.91
ID  - Li2016/09
ER  -