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
- 학술저널
- 저자정보
- 저널정보
- 충남대학교 농업과학연구소 Korean Journal of Agricultural Science Korean Journal of Agricultural Science Vol.47 No.2
- 발행연도
- 2020.6
- 수록면
- 349 - 360 (12page)
이용수
초록· 키워드
오류제보하기
Fire-blight disease is a kind of contagious disease affecting apples, pears, and some other members of the family Rosaceae. Due to its extremely strong infectivity, once an orchard is confirmed to be infected, all of the orchards located within 100 m must be buried under the ground, and the sites are prohibited to cultivate any fruit trees for 5 years. In South Korea, fire-blight was confirmed for the first time in the Ansung area in 2015, and the infection is still being identified every year. Traditional approaches to detect fire-blight are expensive and require much time, additionally, also the inspectors have the potential to transmit the pathogen, Thus, it is necessary to develop a remote, unmanned monitoring system for fireblight to prevent the spread of the disease. This study was conducted to detect fire-blight on pear trees using discriminant analysis with color information collected from a rotary-wing drone. The images of the infected trees were obtained at a pear orchard in Cheonan using an RGB camera attached to a rotary-wing drone at an altitude of 4 m, and also using a smart phone RGB camera on the ground. RGB and Lab color spaces and discriminant analysis were used to develop the image processing algorithm. As a result, the proposed method had an accuracy of approximately 75% although the system still requires many flaws to be improved.
목차
Abstract
Introduction
Materials and Methods
Results and Discussion
Conclusion
References
참고문헌 (19)
참고문헌 신청
Grau V / 2004 / Improved watershed transform for medical image segmentation using prior information / IEEE transactions on medical imaging 23:447~458
GSnJ (GS&J Institute) / 2007 / Korea-US FTA Series 4 :1~16
허광일 / 2017 / 항혈청 기반 진단 스트립을 이용한 과수 화상병 현장진단 / 식물병 연구 23(4):306~313
Hernandez-Lopez JJ / 2012 / Detecting objects using color and depth segmentation with Kinect sensor / Procedia Technology 3:196~204
Hwang HS / 2012 / Research Strategies of Korean Fruit Tree to Cope with Free Trade Agreements / Korean Society for Horticultural Science 30:41
GSnJ (GS&J Institute) / 2007 / Korea-US FTA Series 4 :1~16
허광일 / 2017 / 항혈청 기반 진단 스트립을 이용한 과수 화상병 현장진단 / 식물병 연구 23(4):306~313
Hernandez-Lopez JJ / 2012 / Detecting objects using color and depth segmentation with Kinect sensor / Procedia Technology 3:196~204
Hwang HS / 2012 / Research Strategies of Korean Fruit Tree to Cope with Free Trade Agreements / Korean Society for Horticultural Science 30:41
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