@article{ART002434705},
author={Backsan Moon and Daewon Kim},
title={Pest Control System using Deep Learning Image Classification Method},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2019},
volume={24},
number={1},
pages={9-23},
doi={10.9708/jksci.2019.24.01.009}
TY - JOUR
AU - Backsan Moon
AU - Daewon Kim
TI - Pest Control System using Deep Learning Image Classification Method
JO - Journal of The Korea Society of Computer and Information
PY - 2019
VL - 24
IS - 1
PB - The Korean Society Of Computer And Information
SP - 9
EP - 23
SN - 1598-849X
AB - In this paper, we propose a layer structure of a pest image classifier model using CNN (Convolutional Neural Network) and background removal image processing algorithm for improving classification accuracy in order to build a smart monitoring system for pine wilt pest control. In this study, we have constructed and trained a CNN classifier model by collecting image data of pine wilt pest mediators, and experimented to verify the classification accuracy of the model and the effect of the proposed classification algorithm. Experimental results showed that the proposed method successfully detected and preprocessed the region of the object accurately for all the test images, resulting in showing classification accuracy of about 98.91%. This study shows that the layer structure of the proposed CNN classifier model classified the targeted pest image effectively in various environments. In the field test using the Smart Trap for capturing the pine wilt pest mediators, the proposed classification algorithm is effective in the real environment, showing a classification accuracy of 88.25%, which is improved by about 8.12% according to whether the image cropping preprocessing is performed. Ultimately, we will proceed with procedures to apply the techniques and verify the functionality to field tests on various sites.
KW - Image Processing;Convolutional Neural Network;Background Subtraction;Classification
DO - 10.9708/jksci.2019.24.01.009
ER -
Backsan Moon and Daewon Kim. (2019). Pest Control System using Deep Learning Image Classification Method. Journal of The Korea Society of Computer and Information, 24(1), 9-23.
Backsan Moon and Daewon Kim. 2019, "Pest Control System using Deep Learning Image Classification Method", Journal of The Korea Society of Computer and Information, vol.24, no.1 pp.9-23. Available from: doi:10.9708/jksci.2019.24.01.009
Backsan Moon, Daewon Kim "Pest Control System using Deep Learning Image Classification Method" Journal of The Korea Society of Computer and Information 24.1 pp.9-23 (2019) : 9.
Backsan Moon, Daewon Kim. Pest Control System using Deep Learning Image Classification Method. 2019; 24(1), 9-23. Available from: doi:10.9708/jksci.2019.24.01.009
Backsan Moon and Daewon Kim. "Pest Control System using Deep Learning Image Classification Method" Journal of The Korea Society of Computer and Information 24, no.1 (2019) : 9-23.doi: 10.9708/jksci.2019.24.01.009
Backsan Moon; Daewon Kim. Pest Control System using Deep Learning Image Classification Method. Journal of The Korea Society of Computer and Information, 24(1), 9-23. doi: 10.9708/jksci.2019.24.01.009
Backsan Moon; Daewon Kim. Pest Control System using Deep Learning Image Classification Method. Journal of The Korea Society of Computer and Information. 2019; 24(1) 9-23. doi: 10.9708/jksci.2019.24.01.009
Backsan Moon, Daewon Kim. Pest Control System using Deep Learning Image Classification Method. 2019; 24(1), 9-23. Available from: doi:10.9708/jksci.2019.24.01.009
Backsan Moon and Daewon Kim. "Pest Control System using Deep Learning Image Classification Method" Journal of The Korea Society of Computer and Information 24, no.1 (2019) : 9-23.doi: 10.9708/jksci.2019.24.01.009
