GIS
Applications
in Agriculture
Edited by
Francis J. Pierce
David Clay
GIS APPLICATIONS IN AGRICULTURE SERIES
CRC Press
Taylor & Francis Group
Boca Raton London New York
Contributors
Viacheslav I. Adamchuk
Biological System Engineering
Department
University of Nebraska
Lincoln, Nebraska
James Alfonso
U.S. Fish & Wildlife Service
Devils Lake, North Dakota
Pedro Andrade-Sanchez
Center for Precision Agricultural
Systems
Washington State University
Prosser, Washington
R. Bobbitt
GeoSpatial Experts
Thornton, Colorado
C. Gregg Carlson
South Dakota State University
Brookings, South Dakota
Florence Cassel S.
Center for Irrigation Technology
California State University Fresno
Fresno, California
Jiyul Chang
Geographic Information Science Center
of Excellence
South Dakota State University
Brookings, South Dakota
David E. Clay
Plant Science Department
South Dakota State University
Brookings, South Dakota
Sharon A. Clay
Plant Science Department
South Dakota State University
Brookings, South Dakota
David W. Franzen
North Dakota State University
Fargo, North Dakota
N. Kitchen
USDA-ARS
University of Missouri
Columbia, Missouri
Jonathan Kleinjan
Plant Science Department
South Dakota State University
Brookings, South Dakota
T.G. Mueller
Department of Plant and Soil Sciences
University of Kentucky
Lexington, Kentucky
T.S. Murrell
Potash & Phosphate Institute (PPI)
Woodbury, Minnesota
H.F. Reetz, Jr.
Foundation for Agronomic Research
Monticello, Illinois
PAQ Interactive, Inc.
Monticello, Illinois
Bruce Seelig
Western Plains Consulting
Bismarck, North Dakota
Shrinivasa K. Upadhyaya
Department of Biological and
Agricultural Engineering
University of California Davis
Davis, California
Chenguang Wang
Statistics Department
University of Florida
Gainesville, Florida
Philip Westra
Department of Bioagricultural Sciences
and Pest Management
Colorado State University
Fort Collins, Colorado
Lori J. Wiles
USDA-ARS, Water Management
Research Unit
Fort Collins, Colorado
Contents
Chapter 1
Application of GIS to Integrated Pest Management on U.S. Fish and Wildlife Service Land...................... 1
Bruce Seelig and James Alfonso
Chapter 2
Nitrogen Management in Sugar Beet Using Remote Sensing and GIS................ 35
David W. Franzen
Chapter 3
Using Historical Management to Reduce Soil Sampling Errors........................... 49
David E. Clay, N. Kitchen, C. Gregg Carlson, Jonathan Kleinjan, and Jiyul Chang
Chapter 4
Developing Productivity Zones from Multiple Years of Yield Monitor Data....... 65
Jonathan Kleinjan, David E. Clay, C. Gregg Carlson, and Sharon A. Clay
Chapter 5
Site-Specific Weed Management in Growers’ Fields: Predictions from Hand-Drawn Maps........................ 81
Lori J. Wiles, R. Bobbitt, and Philip Westra
Chapter 6
Map Quality Assessment for Site-Specific Fertility Management ...................... 103
T.G. Mueller
Chapter 7
Gleaning More Information from Yield Data ......... 121
T.S. Murrell, Q.B. Rund and H.F. Reetz, Jr.
Chapter 8
Soil Salinity Mapping Using ArcGIS ................... 141
Florence Cassel S.
Chapter 9
Using GIS and On-the-Go Soil Strength Sensing Technology for
Variable-Depth Tillage Assessment.......................... 163
Pedro Andrade-Sanchez and Shrinivasa K. Upadhyaya
Chapter 10
Collocating Multiple Self-Generated Data Layers ...... 185
Viacheslav I. Adamchuk and Chenguang Wang
Index .............................................197
Summary
The increased efficiency and profitability that the proper application of technology can provide has made precision agriculture the hottest developing area within traditional agriculture. The first single-source volume to cover GIS applications in agronomy, GIS Applications in Agriculture examines ways that this powerful technology can help farmers produce a greater abundance of crops with more efficiency and at lower costs.
Each chapter describes the nature of a problem, examines the purpose and scope of a GIS application, presents the methods used to develop the application, and then goes on to provide results and offer a conclusion as well as supporting information. When appropriate, the chapters present the underlying statistical approach for the GIS software that is used. Applicable data sets and color maps produced by use of GIS are included for download at the CRC webiste.
Concentrating more on the approach and less on the specific software, the authors describe the methods used to develop an application and discuss limitations to the algorithms and the programming code used. They then summarize the application in terms of what it does, how it works, its limitations, and its potential uses. The book provides a toolkit for the acquisition, management, and analysis of spatial data throughout the agriculture value chain.
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