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
- 발행연도
- 2017.6
- 수록면
- 162 - 178 (17page)
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초록· 키워드
오류제보하기
Remote sensing can be used to provide information about the monitoring of crop growth condition. Recently Unmanned Aerial Vehicle (UAV) technology offers new opportunities for assessing crop growth condition using UAV imagery. The objective of this study was to assess weather UAV aerial images are suitable for the monitoring of highland Kimchi cabbage. This study was conducted using a fixed-wing UAV (Model : Ebee) with Cannon S110, IXUS/ELPH camera during farming season from 2015 to 2016 in the main production area of highland Kimchi cabbage, Anbandegi, Maebongsan, and Gwinemi. The Normalized Difference Vegetation Index (NDVI) by using UAV images was stable and suitable for monitoring of Kimchi cabbage situation. There were strong relationships between UAV NDVI and the growth parameters (the plant height and leaf width) (R<SUP>2</SUP>≥0.94). The tendency of UAV NDVI according to Kimchi cabbage growth was similar in the same area for two years (2015~2016). It means that if UAV image may be collected several years, UAV images could be used for estimation of the stage of growth and situation of Kimchi cabbage cultivation.
목차
ABSTRACT
Introduction
Materials and Methods
Results and Discussion
Conclusions
References
참고문헌 (23)
참고문헌 신청
Ahn, J.H., K.D. Kim, and J.T. Lee. 2014. Growth modeling of Chinese cabbage in an alpine area. Korean J. Agric. For. Meteorol. 16(4):309-315.
Berger, R.D. 1981. Comparison of Gompertz and logistic equations to describe plant disease progress. Phythopathol. 71:716-719.
Byrne, G.F. 1980. Fitting a growth curve equation to field data. Agric. Meteorol. 22:1-9.
Choi, K.A., J.H. Lee, and I.P. Lee. 2011. Development of a close-range real-time aerial monitoring system based on a low altitude unmanned air vehicle. J. Korean Soc. Geosp. Inf. Syst. 19(4):21-31.
Cohen, W.B. 1991. Response of vegetation indices to change in three measures of leaf water stress. Photogramm. Eng. Remote Sens. 57(2):195-202.
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UCI(KEPA) : I410-ECN-0101-2018-523-000984115