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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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The purpose of this study is to develop a technology for estimating rice growth and damage effect according to bacterial leaf blight using UAVmulti-spectral imagery. For this purpose, we analyzed the change of aerial images, rice growth factors (plant height, dry weight, LAI) and disease effectsaccording to disease occurrence by using UAV images for 3 rice varieties (Milyang23, Sindongjin-byeo, Saenuri-byeo) from 2017 to 2018. Thecorrelation between vegetation index and rice growth factor during vegetative growth period showed a high value of 0.9 or higher each year. As aresult of applying the growth estimation model built in 2017 to 2018, the plant height of Milyang23 showed good error withing 10%. However, itis considered that studies to improve the accuracy of other items are needed. Fixed wing unmanned aerial photographs were also possible to estimatethe damage area after 2 to 4 weeks from inoculation. Although sensing data in the multi-spectral (Blue, Green, Red, NIR) band have limitations inearly diagnosis of rice disease, for rice varieties such as Milyang23 and Sindongjin-byeo, it was possible to construct the equation of infected leaf arearatio and rice yield estimation using UAV imagery in early and mid-September with high correlation coefficient of 0.8 to 0.9. The results of this studyare expected to be useful for farming and policy support related to estimating rice growth, rice plant disease and yield change based on UAV images.
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등록된 정보가 없습니다.
참고문헌 (22)
참고문헌 신청
Bendig, J. / 2014 / Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging / Remote Sens 6(11):10395~10412
Cohen, W. B. / 1991 / Response of vegetation indices to change in three measures of leaf water stress / Photogrammetric Engineering and Remote Sensing 57(2):195~202
Das, P. K. / 2015 / Monitoring of bacterial leaf blight in rice using ground-based hyperspectral and LISS IV satellite data in Kurnool, Andhra Pradesh, India / International Journal of Pest Management 61(4):359~368
Gitelson, A. A. / 1996 / Use of a green channel in remote sensing of global vegetation from EOS-MODIS / Remote Sensing of Environment 58:289~298
Jordan, C. F. / 1969 / Derivation of leaf-area index from quality of light on the forest floor / Ecology 50:663~666
Cohen, W. B. / 1991 / Response of vegetation indices to change in three measures of leaf water stress / Photogrammetric Engineering and Remote Sensing 57(2):195~202
Das, P. K. / 2015 / Monitoring of bacterial leaf blight in rice using ground-based hyperspectral and LISS IV satellite data in Kurnool, Andhra Pradesh, India / International Journal of Pest Management 61(4):359~368
Gitelson, A. A. / 1996 / Use of a green channel in remote sensing of global vegetation from EOS-MODIS / Remote Sensing of Environment 58:289~298
Jordan, C. F. / 1969 / Derivation of leaf-area index from quality of light on the forest floor / Ecology 50:663~666
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