Effect of sampling patterns and interpolation methods on prediction quality of soil variability mapping

H. H. Huang, V. I. Adamchuk, I. I. Boiko, R. F. Ferguson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Precision agriculture technologies have benefited from a number of remote and proximal sensing mapping practices. However, systematic (grid) sampling of soil still remains the most popular method to address spatial heterogeneity for an array of soil chemical properties. Because of economic constraints, the density of grid sampling has been limited. To increase the information value of the data obtained, at an affordable cost, different sampling and data interpolation strategies have been used. This paper examines several point-based and composite sampling methods implemented using square grids by combining multiple soil cores using a semi-automatic soil sampling systems.

Original languageEnglish (US)
Title of host publicationPrecision Agriculture 2013 - Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013
Pages243-250
Number of pages8
StatePublished - 2013
Event9th European Conference on Precision Agriculture, ECPA 2013 - Lleida, Catalonia, Spain
Duration: Jul 7 2013Jul 11 2013

Publication series

NamePrecision Agriculture 2013 - Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013

Conference

Conference9th European Conference on Precision Agriculture, ECPA 2013
Country/TerritorySpain
CityLleida, Catalonia
Period7/7/137/11/13

Keywords

  • Data interpolation
  • Soil sampling
  • Thematic soil maps

ASJC Scopus subject areas

  • Agronomy and Crop Science

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