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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
- 2017.10
- 수록면
- 422 - 433 (12page)
이용수
초록· 키워드
오류제보하기
Unmanned Aerial Vehicle (UAV) has several advantages over conventional remote sensing techniques. They can acquire high-resolution images quickly and repeatedly. And with a comparatively lower flight altitude, they can obtain good quality images even in cloudy weather. In this paper, we developed for estimating garlic growth at field scale model in major cultivation regions. We used the NDVIUAV that reflects the crop conditions, and seven meteorological elements for 3 major cultivation regions from 2015 to 2017. For this study, UAV imagery was taken at Taean, Changnyeong, and Hapcheon regions nine times from early February to late June during the garlic growing season. Four plant growth parameters, plant height (P.H.), leaf number (L.N.), plant diameter (P.D.), and fresh weight (F.W.) were measured for twenty plants per plot for each field campaign. The multiple linear regression models were suggested by using backward elimination and stepwise selection in the extraction of independent variables. As a result, model of cold type explain 82.1%, 65.9%, 64.5%, and 61.7% of the P.H., F.W., L.N., P.D. with a root mean square error (RMSE) of 7.98 cm, 5.91 g, 1.05, and 3.43 cm. Especially, model of warm type explain 92.9%, 88.6%, 62.8%, 54.6% of the P.H., P.D., L.N., F.W. with a root mean square error (RMSE) of 16.41 cm, 9.08 cm, 1.12, 19.51 g. The spatial distribution map of garlic growth was in strong agreement with the field measurements in terms of field variation and relative numerical values when NDVIUAV was applied to multiple linear regression models. These results will also be useful for determining the UAV multi-spectral imagery necessary to estimate growth parameters of garlic.
목차
ABSTRACT
Introduction
Materials and Methods
Results and Discussion
Conclusions
References
참고문헌 (16)
참고문헌 신청
[인터넷자원] - / / Agricultural Weather Information Service Homepage
[인터넷자원] - Alderson, S. / / Drone cuts costs on New Zealand sheep farm
[학술지(정기간행물)] - Bendig, J. / 2015 / Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley / Inter. J. Appl. Earth Observ. & Geoinform 39 : 79 ~ 87
[학술지(정기간행물)] - Candiago, S. / 2015 / Evaluating multispectral images and vegetation indices for precision farming applications from UAV images / Remote Sens 7 : 4026 ~ 4047
[학술대회논문] - Gay, A. P. / 2009 / Developing unmanned aerial vehicles for local and flexible environmental and agricultural monitoring / Proceedings of RSPSoc 2009 Annual Conference 8 (11) : 471 ~ 476
[인터넷자원] - Alderson, S. / / Drone cuts costs on New Zealand sheep farm
[학술지(정기간행물)] - Bendig, J. / 2015 / Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley / Inter. J. Appl. Earth Observ. & Geoinform 39 : 79 ~ 87
[학술지(정기간행물)] - Candiago, S. / 2015 / Evaluating multispectral images and vegetation indices for precision farming applications from UAV images / Remote Sens 7 : 4026 ~ 4047
[학술대회논문] - Gay, A. P. / 2009 / Developing unmanned aerial vehicles for local and flexible environmental and agricultural monitoring / Proceedings of RSPSoc 2009 Annual Conference 8 (11) : 471 ~ 476
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UCI(KEPA) : I410-ECN-0101-2018-523-001420107