Geostatistical Applications for Precision Agriculture

  • M.A. Oliver

Table of contents

  1. Front Matter
    Pages i-xiv
  2. R. Kerry, M. A. Oliver, Z. L. Frogbrook
    Pages 35-63
  3. T. W. Griffin
    Pages 89-116
  4. R. Khosla, D. G. Westfall, R. M. Reich, J. S. Mahal, W. J. Gangloff
    Pages 195-219
  5. R. Webster
    Pages 221-241
  6. M. J. Pringle, T. F. A. Bishop, R. M. Lark, B. M. Whelan, A. B. McBratney
    Pages 243-267
  7. Back Matter
    Pages 313-331

About this book


This book brings together in one place two dynamic subjects, precision agriculture and geostatistics, that have spatial variation at their core. Geostatistics is applied in precision agriculture (PA) to sampling, prediction, mapping, decision-making, economics, designed experiments, variable-rate applications and so on. Contributions from experts in both fields illustrate how geostatistics can and has been used to advantage with PA data such as yield, soil, crop, pests, aerial photograph, remote and proximal imagery. Geostatistical techniques include variography, ordinary-, disjunctive-, factorial-, indicator-, regression-, simple-, space-time- and co-kriging, and geostatistical simulation. The link between geostatistics and PA will increase as more intensive information on the soil and crops becomes available from sensors and on-the-go technology. This is not a recipe book, but is intended to guide readers in the use of appropriate techniques for the types of data and needs of the farmer in managing the land.


Precision Agriculture Site-specific Management Variogram geostatistics kriging paper simulation

Editors and affiliations

  • M.A. Oliver
    • 1
  1. 1.ReadingUnited Kingdom

Bibliographic information