Journal of Korean Society of Rural Planning (농촌계획)

Korean Society of Rural Planning (한국농촌계획학회)
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Environmental Factor Analysis Affecting Fruit Weight of Korean Melon

참외 과중에 영향을 미치는 환경요인 분석

  • Choi, Don-Woo (Gyongsangbuk-Do Agricultural Research & Extension Services) ;
  • Do, Han-Woo (Gyongsangbuk-Do Agricultural Research & Extension Services) ;
  • Choi, Hong-Gip (Gyongsangbuk-Do Agricultural Research & Extension Services) ;
  • Ryu, Young-Hyun (Gyongsangbuk-Do Agricultural Research & Extension Services) ;
  • Lim, Cheong-Ryong (Rural Research Institute Korea Rural Community Corporation)
  • Received : 2020.12.21
  • Accepted : 2021.05.27
  • Published : 2021.05.31
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Abstract

In this study, an analysis was performed using the growth data and environment data of Korean melon farmers to confirm the influence of environmental factors variables on fruit weight of Korean melon. The analysis results can be summarized as follows. First, it was confirmed that humidity and temperature were recognized as the most important factors among the core factors of korean melon farm production management. Second, The correlation analysis of fruit weight and environmental factors showed a statistically significant soil temperature, internal humidity. Third, The Pooled OLS model estimation results showed that the estimation coefficient for soil temperature is (-), and the estimation coefficient for soil temperature square is (+), indicating that optimal control temperature exists.

Keywords

Acknowledgement

이 연구는 농림식품기술기획평가원에서 발주한 연구과제(과제번호: IPET318062033WT011)의 지원으로 수행되었음.

References

  1. Choi, D. W., Lim, C. R., 2018, Statistical analysis of Production Efficiency on the Strawberry Farms Using Smart Farming, J Korean Soc Qual Manag, 46(3), 707-716. DOI: https://doi.org/10.7469/JKSQM.2018.46.3.707
  2. Chung, B. G., Kang, D. B., 2020, Factors Affecting Acceptance of Smart Farming Technology: A Comparative Analysis of Return and Native Farmers, Global Business Administration Review, 17(2), 54-80. DOI: https://doi.org/10.38115/asgba.2020.17.2.54
  3. Greene, W. H., 2008, Econometric Analysis, 6th edition, Prentice Hall Inc., New Jersey.
  4. Kim, K. P., Moon, H. P., 2012, The Analysis of Priority to the Export Supporting Programs in Korean, Korean Journal of Agricultural Management and Policy, 39(3), 394-419.
  5. KREI, 2016, A Status Analysis of Smart Farm Operation and the Direction of Development.
  6. Na, M. H., Park, Y. H., Cho, W. H., 2017, A study on optimal environmental factors of tomato using smart farm data, The Korean Data and Information Science Society, 28(6), DOI: 1427-1435. http://dx.doi.org/10.7465/jkdi.2017.28.6.1427
  7. Noh, H. S., Lee, Y. S., 2020, Determinants of Growth Variables on Smart Farm Tomato Production, The Society of Convergence Knowledge Transactions, 8(3), 17-25. DOI: https://doi.org/10.22716/sckt.2020.8.3.016
  8. Roh, J. S., Ahn, Y. S., Kim, K. H., 2013, Evaluating the Priority of Policy in Medicinal Crop Industry by AHP Method, Korean Journal if Agricultural Management and Policy, 40(2), 491-510.
  9. Satty, T. L, 2001, Fundamentals of the Analytic Hierarchy Process, The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making.
  10. Satty, T. L. and Kearns, K. P., 1995, Analytical Planning: The Organization of System, N.Y: Pergamon Press, Inc.
  11. https://kosis.kr/