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A Study on Factors of Farmers' Decision-Making for the Selection of Crop Cultivation - A Case of Inje-Gun in Gangwon Province -

농업인의 재배작물 선정에 영향을 미치는 요인에 관한 연구 - 강원도 인제군을 사례로 -

  • Choi, Jae-Yong (Inje Country Office) ;
  • Kim, Chang Hwan (Department of Geography Education, Kangwon National University) ;
  • Bae, Sun Hak (Department of Geography Education, Kangwon National University) ;
  • Lee, Dongjun (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Lim, Kyoung Jae (Department of Regional Infrastructures Engineering, Kangwon National University)
  • Received : 2016.03.23
  • Accepted : 2017.01.09
  • Published : 2017.03.31

Abstract

Farmers seek for high profitability by increasing the best use of land, and the selection of crops is the first and basic way to achieve their goals. When farmers select crops, the climate, price and productivity of crops are usually considered at the first stage. However, a crucial factor is to understand general characteristics of soils where the crops were grown, but many farmers are lacking in detailed knowledge about soils. The purpose of this study is to search and analyses factors based upon related soil and others in decision-making for the selection of crops. In result, the cultivated rate of the top 5 corps in the suitable areas for cultivation (SAC) is only 53 % which shows most farmers are plants their crops in unsuitable sites. To examine factors influencing on the selection of crops except for soils, surveys about their farm characteristic and Korea Soil Information System (KSIS) were conducted. The result of survey shows 20 % of farmers know KSIS. To increase that rate, there were many changes on soil's characteristic, and at the same time, climate conditions should be updated. It can be expected to increase the rate of farmers' utilization of KSIS.

Keywords

References

  1. Agrix, http://www.agrix.go.kr/.
  2. Chung, N. S., C. H. Kim, T. S. Oh, C. K. Hong, and W. S. Jang, 2013. Development of a Knowledge-Based Crop Recommendation Model for Precision Agriculture. The Journal of the Korean Society of International Agricultur 25(1): 41-49 (in Korea). https://doi.org/10.12719/KSIA.2013.25.1.041
  3. FAO. 2007. The Crop Environmental Requirements Database and The Crop Environmental Response Database. Land and Water Digital Media Series.
  4. Grabski, S. V. and D. Mendez, 1998. Implementation of a knowledge-based agricultural geographic decision-support system in the Dominican Republic: a case study. Information Technology & People 11(3): 174-193. https://doi.org/10.1108/09593849810227986
  5. Heo, M. H., E. S. Pi, D. H. Lee, and S. H. Lee, 1994. Selection of agricultural income crops cultivation suit-land using GIS. The Journal of GIS Association of Korea 2(1): 75-83 (in Korea).
  6. Hyun, B. K., H. J. Cho, Y. K. Sonn, C. W. Park, H. C. Chun, K. C. Song, Y. H. Moon, D. C. Noh, K. H. Yun, M. S. Kim, and D. B. Lee, 2013. Korean Society of Soil Sciences and Fertilizer 46(2): 92-98 (in Korea). https://doi.org/10.7745/KJSSF.2013.46.2.092
  7. Iftikhar U. Sikder., 2009. Knowledge-based spatial decision support systems: An assessment of environmental adaptability of crops. Expert Systems with Application 36(3): 5341-5347. https://doi.org/10.1016/j.eswa.2008.06.128
  8. Jung, N., C. H. Kim, T. S. Oh, C. K. Hong, W. S. Jang, 2013. Development of a Knowledge-Based Crop Recommendation Model for Precision Agriculture. The Korean Society of International Agriculture 25(1): 41-49 (in Korea). https://doi.org/10.12719/KSIA.2013.25.1.041
  9. Kim, H., H. J. Kim, S. M. Choi, and S. H. Lee, 2011. A GIS-based Analysis for Suitable Site of Chisandra chinensis Cultivation-Focused on Jangsu County forest-. Institute of Agriculture & Life Science at Gyeongsang National University 45(1): 41-47 (in Korea).
  10. Korean Soil Information System, http://soil.rda.go.kr/.
  11. Lee, C. K., I. K. Jung, J. H. Sung, S. O. Jung, H. J. Kim, and W. P. Park, 2005. The current of precision agriculture research in USA and Japan. Proceedings of the Korean Society for Agricultural Machinery Conference 2005, 397-400.
  12. Lee, S. H., 2003. Soil survey theory and of Practical technique, Rural Development Administration.
  13. Park, W. P., S. C. Kim, J. H. Sung, B. H. Jung, and S. J. Hwang, 2006. Eco-friendly Rice Precision Farming variance agricultural work system development. Ministry of Agriculture and Forestry.