1 |
S. Lee, E. Lee, and H. Park, C. Seo "Factors affecting Crop Damage by the Wild Boar (Sus scrofa)," Korean Journal of Environment and Ecology, Vol 32, No. 2, pp. 140-146, 2018.
DOI
|
2 |
K.K. Wagner and D.L. Nolte, "Comparison of Active Ingredients and Delivery Systems Indeer Repellents," Wildlife Society Bulletin, Vol. 29, No. 1, pp. 322-330, 2001.
|
3 |
Using Sound to Keep Crops Safe. https://modernfarmer.com/2013/11/fake-birdcallspneuma tic-cannons-keeps-crops-safe/ (accessed December 29, 2020).
|
4 |
W. Lee, S. Oh, and Y. Nam, S. Ro, "A Study on the Development of Night Vision Thermal Camera Using Deep Learning," Journal of the Korean Institute of Communication and Information Sciences, Vol. 44, No. 12, pp 2332-2338, 2019.
DOI
|
5 |
A. Lee, S. Park, and J. Hong, "Development of a Yolo-Based System for Prevention of Wildlife Damage," Journal Korea Information Science Society, pp. 2897-2899, 2018.
|
6 |
C. Woo, "Design and Implementation of Farm Pest Animals Repelling System Based on Open Source," Journal of Korea Multimedia Society Vol. 19, No. 2, pp. 451-445, 2016.
DOI
|
7 |
H. Lim, M. Jie, and W.Choi, "Developed using Quadcopter Crop Protection and Monitoring System from Wild Animals," Journal of the Korea Entertainment Industry Association, Vol. 10, No. 4, pp. 303-301, 2016.
DOI
|
8 |
J. Redmon, S. Divvala, and R. Girshich, A. Farhadi, "You Only Look Once: Unified, RealTime Object Detection," arXiv preprint arXiv: 1506.02640, pp. 1-10, 2016.
|
9 |
A. Bochkovskiy, C. Wang, and H.M. Liao, "YOLOv4: Optimal Speed and Accuracy of Object Detection," arXiv preprint arXiv:2004.10934, pp. 1-17, 2020.
|
10 |
GwangJin, Equipment for controlling harmful animals using IoT deep learning, 10-2018-0007540, 2018.
|