Computational routines for the automatic selection of the best parameters used by interpolation methods to create thematic maps
作者: Nelson Miguel BetzekEduardo Godoy de SouzaClaudio Leones BazziKelyn SchenattoAlan GavioliPaulo S. Graziano Magalhães
作者单位: 1Department of Computer Science, Federal Technological University of Paraná (UTFPR), Medianeira, Paraná, Brazil
2PGEAGRI, Technological and Exact Sciences Center, Western Paraná State University (UNIOESTE), Cascavel, Paraná, Brazil
3Department of Computer Science, Federal Technological University of Paraná (UTFPR), Santa Helena, Paraná, Brazil
刊名: Computers and Electronics in Agriculture, 2019, Vol.157 , pp.49-62
来源数据库: Elsevier Journal
DOI: 10.1016/j.compag.2018.12.004
关键词: Cross-validationInverse distanceKrigingSemivariogram
英文摘要: Abstract(#br)In precision agriculture, soil and plant variables are usually presented through thematic maps. The development of these maps is related to data collection, analysis, and interpolation. Although several mathematical interpolation methods are available (triangulation, natural-neighbor interpolation, inverse functions of distance, least-squares polynomials, and kriging), ordinary kriging (OK) and inverse distance weighting (IDW) are the most commonly used. However, farmers/agronomists are not highly trained in statistical methods to produce the best maps of soil and plant variables for precision agriculture. To ensure the best management approach is used, an automated method ready for application in an automated, easy-to-use mapping facility has the potential to be very useful....
全文获取路径: Elsevier  (合作)
影响因子:1.766 (2012)

  • interpolation 内插法
  • automatic 自动的
  • create 引起
  • thematic 主题的
  • parameters 参数
  • validation 证实
  • selection 选择
  • distance 距离