• DocumentCode
    3392024
  • Title

    A Study on the Regional Application of Rice Growth Model in County Level

  • Author

    Chunlin, Shi ; Zhiqing, Jin ; Huihui, Feng

  • Author_Institution
    Inst. of Agric. Resources & Environ., Jiangsu Acad. of Agric. Sci., Nanjing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    42
  • Lastpage
    48
  • Abstract
    On the basis of spatial aggregation, the up scaling technique was one of methods for the regional application of crop growth model. In this paper, the aggregation technique of regional soils, varieties and cultivar measures was discussed for regional application of rice growth model in county level, and the difference of rice development and yield among the county stations of Suzhou and Lianyungang, Jiangsu, was explored with experiment data from national agrometeological stations at Kunshan and Ganyu, Jiangsu and RCSODS. The results showed although the development stages were similar among counties, the yield difference was significant, After aggregation of model inputs, the RMSEs between statistical and simulated yields were 742kg/ha and 975kg/ha for Suzhou and Lianyungang respectively, and the NRMSEs were 8.7% and 12.4%, which indicated the spatial aggregation approach for model inputs was suited to regional application of rice growth model.
  • Keywords
    agriculture; crops; meteorology; regional planning; soil; agrometeological station; county level; crop growth model; cultivar measure; regional soils aggregation technique; rice development; rice growth model; spatial aggregation; Agriculture; Analytical models; Biological system modeling; Data models; Meteorology; Soil; Soil measurements; Crop; county level; growth model; regional application;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8432-4
  • Type

    conf

  • DOI
    10.1109/AICI.2010.250
  • Filename
    5655136