Journal of Biosystems Engineering

  • 제30권5호
  • /
  • Pages.268-273
  • /
  • 2005
  • /
  • 1738-1266(pISSN)
  • /
  • 2234-1862(eISSN)
한국농업기계학회 (Korean Society for Agricultural Machinery)
권호 표지
DOI QR코드

DOI QR Code

수도작 포장의 고저차 측정을 위한 최적 받침대 선정

Selection of Optimum Fulcrum Type for Measurement and Geo-statistical Analyze of Elevation within Rice Paddy Field

  • Sung J. H. (National Institute of Agricultural Engineering, RDA) ;
  • Jang S. W. (National Institute of Agricultural Engineering, RDA)
  • 발행 : 2005.10.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This study was conducted to investigate the specificities of four fulcrum types for geo-statistical analysis of elevation within rice paddy field. In Korea, the spaces between inter-rows and between hills for rice transplanting are 30cm and 11cm to 14cm, respectively. So, the size and shape of fulcrum for field elevation measurement should be considered according to the inter-row and the hill spaces. Four kinds of fulcrum were chosen such as round-shape with 2.5cm diameter, circular-shape with 10cm diameter, 10cm (one third of inter-row space) by 24cm (double of hill space) rectangular-shape, and 20cm (two-thirds of inter-row space) by 24cm rectangular-shape. The resulting descriptive statistics couldn't determine the best fulcrum type to measure the rice paddy field elevation. But the results of geo-statistical analysis could determine the best fulcrum type. In the case of 10cm by 24cm rectangular-shape fulcrum, Nugget and range, meaning measurement error and/or noise, and limit of spatial connection, respectively, were minimum; Q value meaning weight of spatial structure and $r^2$ value were minimum, and residual sum of squares was minimum. It means that 10cm by 24 cm rectangular-shape fulcrum could best describe the rice paddy field elevation.

키워드

참고문헌

  1. Brown, D. G. and Bara, T. J. 1994. Recognition and reduction of systematic error in elevation and derivation surfaces from 71/2 minute DEMs. Photogrammetric Engineering & Remote Sensing 60:189-194
  2. Chung, S. O., Sung, J. H., Sudduth, K. A., Drummond, S. T. and Hyun, B. K. 2000. Spatial variability of yield, chlorophyll content and soil properties in a Korea rice paddy field. Proc. 5th Intl. Conf. on Precision Agriculture. ASA, CSSA, and SSSA, Madison, WI
  3. Davis, J. G., Hossner, J. R., Wilding, L. P. and Manu, A. 1995. Variability of soil chemical properties in two sandy, dunal soil of Niger. Soil Science 159(5):321-329 https://doi.org/10.1097/00010694-199505000-00005
  4. Franzen, D. W., Cihacek, L. J., Hofman, V. L. and Swenson, L. J. 1998. Topography-based sampling compared with grid sampling in the Northern great plains. J. Prod. Agric. 33: 364-370
  5. Kravchenko, A. N. 2003. Influence of spatial structure on accuracy of interpolation mehtods. Soil Sci. Soc. Am. J. 67: 1564-1571 https://doi.org/10.2136/sssaj2003.1564
  6. Lee, C. K., Son, Y. K., Jung, I. G., Kim, S. C., Park, W. P. and Park, W. K. 2002. Geostatistical analysis of spatial variability for field information in paddy field. Kor. J. Int'l Agri. 14:127-138. (In Korean)
  7. Lee, C. K., Sung, J. H., Jung, I. G., Kim, S. C., Lee, Y. B. and Park, W. K. 2004. Geo-statistical analysis of growth variability in rice paddy field. J. of Biosystems Engineering 29:109-120. (In Korean) https://doi.org/10.5307/JBE.2004.29.2.109
  8. Sadler, E. J., Busscher, W. J., Bauer, P. J. and Karlen, D. L. 1998. Spatial scale requirements for precision farming: A case study in the southeastern USA. Agron. J. 90:191-197 https://doi.org/10.2134/agronj1998.00021962009000020012x
  9. Sudduth, K. A., Drummond, S. T., Birrell, S. J. and Kitchen, N. R. 1996. Analysis of spatial factors influencing crop yield. Int'l Proc. 3rd Int. Com. On Precision Agriculture, O.C. Robert et al. (ed.) pp. 129-140
  10. Westphalen, M. L., Steward, B. L. and Han, S. 2004. Topographic mapping through measurement of vehicle attitude and elevation. Trans. of ASAE 47:1841-1849 https://doi.org/10.13031/2013.17601