An Overview of Geostatistics and Precision Agriculture -- Sampling in Precision Agriculture -- Sampling in Precision Agriculture, Optimal Designs from Uncertain Models -- The Spatial Analysis of Yield Data -- Space-Time Geostatistics for Precision Agriculture: A Case Study of NDVI Mapping for a Dutch Potato Field -- Delineating Site-Specific Management Units with Proximal Sensors -- Using Ancillary Data to Improve Prediction of Soil and Crop Attributes in Precision Agriculture -- Spatial Variation and Site-Specific Management Zones -- Weeds, Worms and Geostatistics -- The Analysis of Spatial Experiments -- Application of Geostatistical Simulation in Precision Agriculture -- Geostatistics and Precision Agriculture: A Way Forward. 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.