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2019 Vol.31, Issue 3 Preview Page

Research Article

Case Study: The Effect of Shade on the RGB Images Obtained from Unmanned Aerial Vehicle in Crop Evaluation
G. J. Jang1
J. Y. Kim2
R. R. Silva3
Y. H. Kim4
H. J. Kim5*
Y. S. Chung6*
1Graduate Student, Department of Biosystems and Biomaterials Science and Engineering, College of Agriculture and Life Sciences, Seoul National University
2Graduate Student, Department of Plant Resources and Environment, Jeju National University
3Professor, Institute of Mathematics and Statistics, Federal University of Goias
4Professor, Plant Bioscience, School of Applied Biosciences, Kyungpook National University
5Professor, Department of Biosystems and Biomaterials Science and Engineering, College of Agriculture and Life Sciences, Seoul National University
6Professor, Department of Plant Resources and Environment, Jeju National University
* Corresponding Author
December 2019. pp. 143-150
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Abstract

Crop evaluation requires various information, which is collected manually. These manual data collection methods are labor intensive and error prone. However, the new research area, called phenomics, has been developed significantly to deal with these issues. Yet, it has many technical issues to should be considered. One of these issues is the occurrence of shadow images. When an unmanned aerial vehicle (UAV) captures images in the field, there is always the chance that shadow images will occur due to cloud or trees. It may or may not cause different RGB data to be relayed, which can influence results and therefore conclusions in crop evaluation strategies. Thus, the current study was designed to evaluate the extent of the differences between the shadow and no-shadow images obtained by UAVs.

Keywords
Crop evaluation
Image analysis
Non-destructive evaluation
Remote sensing
Shadow image
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Information
  • Publisher :Agriculture and Life Sciences Research Institute, Kangwon National University
  • Publisher(Ko) :강원대학교 농업생명과학대학 농업생명과학연구원
  • Journal Title :Journal of Agricultural, Life and Environmental Sciences
  • Journal Title(Ko) :강원농업생명환경연구
  • Volume : 31
  • No :3
  • Pages :143-150
  • Received Date :2019. 12. 07
  • Revised Date :2019. 12. 14
  • Accepted Date : 2019. 12. 16
  • DOI :https://doi.org/10.22698/jales.20190017
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