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Correlation Analysis between Meteorological Factors and Crop Products

농산물 생산량과 기상요소의 상관관계 분석

  • Lee, Ki-Kwang (School of Business Administration, Dankook University) ;
  • Ko, Kwang-Kun (School of Management, Institute Research of Industry Management, Inje University) ;
  • Lee, Joong-Woo (School of Management, Institute Research of Industry Management, Inje University)
  • 이기광 (단국대학교 경영학부) ;
  • 고광근 (인제대학교 경영학부/산업경영연구원) ;
  • 이중우 (인제대학교 경영학부/산업경영연구원)
  • Received : 2011.12.26
  • Accepted : 2012.03.29
  • Published : 2012.04.30

Abstract

Agriculture is more influenced by environmental factors rather than other industries. Among the environmental factors, the meteorological conditions mainly impact the output of agricultural products. Hence, the purpose of this study is to analyze the impact of meteorological factors on the output of elemental agricultural products. As a first step, we obtained the data of the meteorological factors (i.e., precipitation, humidity, temperature, insolation, snowdrifts, wind velocity) and the output of the various agricultural products (i.e., grain, fruits and vegetables, root crops, green vegetables, seasoned vegetables, fruits, special crops) from the year 1990 to 2009 (20 years) of Seoul and the six metropolitan cities in Korea. Then, the analysis of the correlation between the agricultural product with the largest output and the meteorological factors of the place where the corresponding agricultural product is most produced, was carried out in order to determine the core meteorological factor that most impacts the output of agricultural product. The correlation analysis revealed that humidity, insolation and wind velocity have been the crucial meteorological factors to influence the output of the agricultural products. From the result, we can induce that the meteorological forecast information about the vital meteorological factors, i.e., humidity, insolation and wind velocity, facilitates the optimized cultivation plan to maximize the output of agricultural products.

Keywords

References

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Cited by

  1. Study on Effects of Meteorological Elements in the Grain Production of Korea vol.24, pp.3, 2015, https://doi.org/10.5322/JESI.2015.24.3.281
  2. A Missing Value Replacement Method for Agricultural Meteorological Data Using Bayesian Spatio–Temporal Model vol.27, pp.7, 2018, https://doi.org/10.5322/JESI.2018.27.7.499
  3. Production of Agrometeorological Information in Onion Fields using Geostatistical Models vol.27, pp.7, 2018, https://doi.org/10.5322/JESI.2018.27.7.509