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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.1
- 수록면
- 136 - 143 (8page)
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Magnesium deficiency in the soil threatens crop production and human health. Despite the trend of reduced rural manpower and increasing urban population consuming more crops, we have to measure and control magnesium levels in the soil for continuous food supply to the population. Using UAV image analysis, the magnesium content in the plants can be measured, providing a valuable clue to predict the magnesium amount in the soil. This study aims to describe the production of an aerial buckwheat field video using UAV. The obtained video was analyzed for the vegetation index (VI) while the buckwheat in the field was sampled and analyzed for the magnesium and chlorophyll contents, as the main building block of chlorophyll is magnesium. The applied VI refers to the Normalized Difference Vegetation Index (NDVI), highly correlating with the chlorophyll content in plants. The results of the regression analysis showed that the NDVI with the total chlorophyll content displays a positive coefficient of R2 =0.9546. Moreover, the NDVI with the magnesium content displays a positive coefficient of R2 =0.6786 in the buckwheat. In this case study, we present an easy and efficient way to predict the magnesium content of the soil to control soil health.
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