@article{ZHANG:240723,
      recid = {240723},
      author = {ZHANG, Qianqian and LIANG, Yan},
      title = {Multiscale Regional Formula Fertilization Considering  Environment Information Incompleteness},
      journal = {Asian Agricultural Research},
      address = {2015-11},
      number = {1812-2016-144516},
      pages = {6},
      year = {2015},
      abstract = {Conventional formula fertilization tends to calculate  regional rate of fertilizer application by means of  analyzing spatial distribution of regional cultivated land  productivity combined with experiment data. However, as  environment information of cultivated land is incomplete  due to limitation of traditional cultivated land management  technology and data acquisition, uncertainty of rate of  fertilizer makes it hard to define the interval of formula  fertilization and support the regional fertilization task.  With the technique of spatial analysis and multiscale  uncertainty theory, conventional fertilization can be  optimized. Four steps are involved to calculate regional  formula fertilization interval based on conventional  formula fertilization: (i) To simulate cultivated land  productivity according to EGLSN Model, and make it crop  target field; (ii) To determine rate of fertilizer  according to target field to define cultivated land  productivity fertilizer interval and mid-value; (iii) To  define region fertilizer interval length and value of  region varying with scales as environment information  becomes complete gradually; (iv) To apply block fertilizer  combined with conventional formula by soil testing.  Multiscale optimizing formula fertilization system has been  established by using the ArcEngine as a platform to  integrate the methods, which is applied in Xinjiang County,  Shanxi Province, in order to optimize the existing  fertilization formula in study area. It showed that the  optimized formula fertilization had more spatial details of  productivity than the original one. And the new method is  available to support formula fertilization in any region or  the block with uncertain environment information. It is  therefore concluded that the proposed method has the  potential for popularity, which provides a multiscale,  multiple-factor and standardized formula fertilization  method.},
      url = {http://ageconsearch.umn.edu/record/240723},
      doi = {https://doi.org/10.22004/ag.econ.240723},
}