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Geostatistical Applications for Precision Agriculture

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.11.2014

Herausgeber

Margaret A. Oliver

Verlag

Springer Netherland

Seitenzahl

331

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

528 g

Auflage

2010

Sprache

Englisch

ISBN

978-94-017-8370-5

Beschreibung

Rezension

From the reviews:

“Aims to illustrate the link between geostatistics and PA … . Experts in the subject area were each asked to write a chapter on a topic. … the editor has done a very good job in harmonizing the chapters and makes sure that they cover a sufficiently broad range of techniques. … written by geostatisticians offering techniques to a PA audience … . Does this book fulfil a need? Yes, I definitely believe so. … value for communities of both geostatisticians and PA practitioners.” (M. Van Meirvenne, European Journal of Soil Science, Vol. 62, August, 2011)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.11.2014

Herausgeber

Margaret A. Oliver

Verlag

Springer Netherland

Seitenzahl

331

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

528 g

Auflage

2010

Sprache

Englisch

ISBN

978-94-017-8370-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Geostatistical Applications for Precision Agriculture
  • Produktbild: Geostatistical Applications for Precision Agriculture
  • 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