Preface
1 An Overview of Geostatistics and Precision Agriculture; M. A. Oliver
Abstract; 1.1 Introduction; 1.2 The Theory of Geostatistics; 1.3 Case study: Football Field
2 Sampling in Precision Agriculture: Part I; R. Kerry, M. A. Oliver and Z. L. Frogbrook
Abstract; 2.1 Introduction; 2.2 Variograms to guide sampling; 2.3 Use of the variogram to guide sampling for bulking; 2.4 The variogram to guide grid-based sampling; 2.5 Variograms to improve predictions from sparse sampling; 2.6 Conclusions; References
3 Sampling in Precision Agriculture, Optimal Designs from Uncertain Models; B. P. Marchant and R. M. Lark
Abstract; 3.1 Introduction; 3.2 The linear mixed model: estimation, predictions and uncertainty; 3.3 Optimizing sampling schemes by spatial simulated annealing; 3.4 Conclusions; References
4 The Spatial Analysis of Yield Data; T. W. Griffin
Abstract; 4.1 Introduction; 4.2 Background of site-specific yield monitors; 4.3 Managing Yield Monitor Data; 4.4 Spatial statistical analysis of yield monitor data; 4.5 Case study: Spatial analysis of yield monitor data from a field-scale experiment; 4.6 Conclusion; References
5 Space-time Geostatistics for Precision Agriculture: A Case Study of NDVI Mapping for a Dutch Potato Field; G. B. M. Heuvelink and F. M. van Egmond
Abstract; 5.1 Introduction; 5.2 Description of the Lauwersmeer study site and positional correction of NDVI data; 5.3 Exploratory data analysis of Lauwersmeer data; 5.4 Space-time geostatistics; 5.5 Application of space-time geostatistics to the Lauwersmeer farm data; 5.6 Discussion and Conclusions; References
6 Delineating Site-specific Management Units with Proximal Sensors; D. L. Corwin and S. M. Lesch;
Abstract; 6.1 Introduction; 6.2 Directed Sampling with a Proximal Sensor; 6.3 Delineation of SSMUs with a Proximal Sensor; 6.4 Case Study Using Apparent Soil Electrical Conductivity (ECa) - San Joaquin Valley, CA; 6.5 Conclusion; References
7 Using Ancillary Data to Improve Prediction of Soil and Crop Attributes in Precision Agriculture; P. Goovaerts and R. Kerry
Abstract; 7.1 Introduction; 7.2 Theory; 7.3 Case study 1: the Yattendon site; 7.4 Case Study 2: the Wallingford site; 7.5 Conclusions; References
8 Spatial Variation and Site-specific Management Zones; R. Khosla, D. G. Westfall, R. M. Reich, J.S. Mahal and W. J. Gangloff
Abstract; 8.1 Introduction; 8.2 Quantifying spatial variation in soil and crop properties; 8.3 Site-specific management zones; 8.4 Statistical evaluation of management zone delineation techniques: A case study; 8.5 Conclusions; References
9 Weeds, Worms and Geostatistics; R. Webster
Abstract; 9.1 Introduction; 9.2 Weeds; 9.3 Nematodes; 9.4 The future of geostatistics in precise pest control; References
10 The Analysis of Spatial Experiments; M.J. Pringle, T.F.A. Bishop, R.M. Lark, B.M. Whelan and A.B. McBratney
Abstract; 10.1 Introduction; 10.2 Background; 10.3 Management-class experiments; 10.4 Local-response experiments; 10.5 Alternative approaches to experimentation; 10.6 Issues for the future
10.7 Conclusions; References
11 Application of Geostatistical Simulation in Precision Agriculture; R. Gebbers and S. de Bruin
Abstract; 11.1 Introduction;11.2 Case study I: uncertainty of a pH map; 11.3 Case study II: uncertainty in the position of geographic objects; 11.4 Case study III: uncertainty propagation in soil mapping; 11.5 Application of geostatistical simulation in precision agriculture: summary; References
12 Geostatistics and Precision Agriculture: A Way Forward; J. K. Schueller
Abstract; 12.1 Introduction; 12.2 Weather, time, and space; 12.3 Farmers, advisors and researchers; 12.4 Issues, ideas and questions; 12.5 Past, present, and future; References
Appendix: Software
Index