지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 한국정보통신학회 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING 2019 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING Vo.11 No.1
- 발행연도
- 2019.6
- 수록면
- 320 - 323 (4page)
이용수
초록· 키워드
오류제보하기
Korean farmers are suffering more than 10 billion won of crop damage every year due to wild animals. Especially, in the case of outdoor cultivation, the damage is serious. In order to reduce the damage of wild animals, various efforts have been made, such as setting scarecrows and water cannons, but the effect is negligible. In order to reduce the damage of crops, it is important to accurately analyze the causes of crop damage. In this study, we investigate the method of collecting information that can install the imaging device on the cultivated land and analyze the cause of damage. Identify wildlife through video information and identify the frequency of occurrence by day or month. Video information is captured using a video tracking algorithm such as OpenCV (Open Source Computer Vision Library) Detect wildlife automatically. We analyze behavior patterns of wild animals detected in farmland and study how to deal with them.
목차
Abstract
I. INTRODUCTION
II. RELATIVE RESEARCHES
III. DESIGN OF SYSTEM
IV. DISCUSSION AND CONCLUSIONS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2019-004-000921276