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2021 Vol.33, Issue 2 Preview Page

Research Article

The Relationship between the Vegetation Index obtained using Unmanned Aerial Vehicles and the Amount of Magnesium in the Soil

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Dong-Wook Kim1†
,
Gyung Deok Han2†
,
Jae Young Kim3
,
Hak-Jin Kim4*
,
Yong Suk Chung5*
김 동욱1†
,
한 경덕2†
,
김 재영3
,
김 학진4*
,
정 용석5*
1Graduate Student, Department of Biosystems Engineering, Seoul National University, Seoul 08826, Korea
2Researcher, Subtrophical Horticulture Research Institute, Jeju National University, Jeju 63243, Korea
3Graduate Student, Plant Resources and Environment major, Jeju National University, Jeju 63243, Korea
4Professor, Department of Biosystems Engineering, Seoul National University, Seoul 08826, Korea
5Professor, Plant Resources and Environment major, Jeju National University, Jeju 63243, Korea
1서울대학교 바이오시스템공학과 대학원생
2제주대학교 아열대원예산업연구소 연구원
3제주대학교 식물자원환경학과 대학원생
4서울대학교 바이오시스템공학과 교수
5제주대학교 식물자원환경학과 교수
*Corresponding Author
†These authors contributed equally to this work.
31 July 2021. pp. 136-143
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Abstract

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.

Keywords
Buckwheat
Chlorophyll
Magnesium
Normalized difference vegetation index
Unmanned aerial vehicle
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Information
  • Publisher :Agriculture and Life Sciences Research Institute, Kangwon National University
  • Publisher(Ko) :None
  • Journal Title :Journal of Agricultural, Life and Environmental Sciences
  • Volume : 33
  • No :2
  • Pages :136-143
  • Received Date : 2021-06-30
  • Revised Date : 2021-07-03
  • Accepted Date : 2021-07-07
  • DOI :https://doi.org/10.22698/jales.20210013
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