Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)

Stored-grain Pests Detection Based on SVM

Authors
Fengqi Cui, Haoran Xiao, Cuiping Zhou, Yi Mou, Long Zhou
Corresponding Author
Yi Mou
Available Online December 2019.
DOI
10.2991/mmsta-19.2019.34How to use a DOI?
Keywords
stored-grain pests; SVM; classification
Abstract

Stored grain pests detection is essential for grain management. In this paper, we have proposed a machine learning method for stored-grain pest detection. We focus on crustacean pests detection using SVM. The 20 pixels width and 20 pixels height pests and background images are directly utilized for SVM training and classification. According to the experiment results, accuracy of SVM classifier is 99.40%, which outperforms LSSVM and PLS. We then conducted an interesting experiment using synthetic pest images. We employ these synthesized data as pest samples for training SVM classifier. According to the results, the SVM classifier trained via synthetic pest images is able to detect pests in images in some cases because synthetic pest images are quite different from real pest images.

Copyright
© 2019, 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 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)
Series
Advances in Computer Science Research
Publication Date
December 2019
ISBN
978-94-6252-856-7
ISSN
2352-538X
DOI
10.2991/mmsta-19.2019.34How to use a DOI?
Copyright
© 2019, 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  - Fengqi Cui
AU  - Haoran Xiao
AU  - Cuiping Zhou
AU  - Yi Mou
AU  - Long Zhou
PY  - 2019/12
DA  - 2019/12
TI  - Stored-grain Pests Detection Based on SVM
BT  - Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)
PB  - Atlantis Press
SP  - 161
EP  - 164
SN  - 2352-538X
UR  - https://doi.org/10.2991/mmsta-19.2019.34
DO  - 10.2991/mmsta-19.2019.34
ID  - Cui2019/12
ER  -