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2019 Vol.61, Issue 6 Preview Page
Statistical Analysis of Determining Optimal Monitoring Time Schedule for Crop Water Stress Index (CWSI)

작물 수분 스트레스 지수 산정을 위한 최적의 관측 간격과 시간에 대한 통계적 분석

Yonghun Choia
,
Minyoung Kimb†
,
Woohyun Ohc
,
Junggun Chod
,
Sokkyu Yune
,
Sangbong Leef
,
Younjin Kimg
,
Jonggil Jeonh
최 용훈a
,
김 민영b†
,
오 우현c
,
조 정건d
,
윤 석규e
,
이 상봉f
,
김 영진g
,
전 종길h
aPost-doctoral Researcher, Department of Agricultural Engineering, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA)
bAgricultural Researcher, Department of Agricultural Engineering, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA)
cResearcher, Department of Agricultural Engineering, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA)
dAgricultural Researcher, Department of Horticultural Crop Research, National Institute of Horticultural and Herbal Sciences (NIHHS), Rural Development Administration (RDA)
eAgricultural Researcher, Department of Horticultural Crop Research, National Institute of Horticultural and Herbal Sciences (NIHHS), Rural Development Administration (RDA)
fAgricultural Researcher, Department of Agricultural Engineering, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA)
gAgricultural Researcher, Department of Agricultural Engineering, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA)
hAgricultural Researcher, Department of Agricultural Engineering, National Institute of Agricultural Sciences (NAS), Rural Development Administration (RDA)
a농촌 진흥청 국립 농업 과학원 농공학과 박사후 연구원
b농촌 진흥청 국립 농업 과학원 농업 공학과 농업 연구원
c국립 농업 과학원 농업 공학과, 농촌 진흥청 (RDA)
d국립 원예 초본 과학원 (NIHHS), 원예 작물 부 농업 연구원, 농촌 진흥청 (RDA)
e국립 원예 초본 과학원 (NIHHS), 원예 작물 부 농업 연구원, 농촌 진흥청 (RDA)
f농촌 진흥청 국립 농업 과학원 농업 공학과 농업 연구원
g농촌 진흥청 국립 농업 과학원 농업 공학과 농업 연구원
h농촌 진흥청 국립 농업 과학원 농업 공학과 농업 연구원
† Corresponding author Tel.: +82-63-238-4156, Fax: +82-63-238-4145 E-mail: mykim75@korea.kr
2019. pp. 73-79
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Abstract

Continuous and tremendous data (canopy temperature and meteorological variables) are necessary to determine Crop Water Stress Index (CWSI). This study investigated the optimal monitoring time and interval of canopy temperature and meteorological variables (air temperature, relative humidity, solar radiation and wind speed) to determine CWSIs. The Nash-Sutcliffe model efficiency coefficient (NSE) was used to quantitatively describe the accuracy of sampling method depending upon various time intervals (t=5, 10, 15, 20, 30 and 60 minutes) and CWSIs per every minute were used as a reference. The NSE coefficient of wind speed was 0.516 at the sampling time of 60 minutes, while the ones of other meteorological variables and canopy temperature were greater than 0.8. The pattern of daily CWSIs increased from 8:00 am, reached the maximum value at 12:00 pm, then decreased after 2:00 pm. The statistical analysis showed that the data collection at 11:40 am produced the closest CWSI value to the daily average of CWSI, which indicates that just one time of measurement could be representative throughout the day. Overall, the findings of this study contributes to the economical and convenient method of quantifying CWSIs and irrigation management.

Keywords
Crop water stress index (CWSI)
canopy temperature
optimal monitoring time
References

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Information
  • Publisher :The Korean Society of Agricultural Engineers
  • Publisher(Ko) :한국농공학회
  • Journal Title :Journal of Korean Society of Agricultural Engineers
  • Journal Title(Ko) :한국농공학회논문집
  • Volume : 61
  • No :6
  • Pages :73-79
  • Received Date : 2019-09-19
  • Revised Date : 2019-10-25
  • Accepted Date : 2019-10-28
  • DOI :https://doi.org/10.5389/KSAE.2019.61.6.073
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