Pierce / Clay GIS Applications in Agriculture

Erscheinungsjahr 2007
ISBN: 978-1-4200-0771-8
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 224 Seiten

Reihe: GIS Applications in Agriculture

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.

Zielgruppe

Soil scientists, crop scientists, agricultural engineers, GIS professionals, weed scientists, plant pathologists, geographers, extension agents, entomologists, teachers, consultants, and farmers.

Autoren/Hrsg.

Pierce, Francis J.

Clay, David

Fachgebiete

• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften

Inhaltsverzeichnis

Application of GIS to Integrated Pest Management on U.S. Fish and Wildlife Service Land, B. Seelig and J. Alfonso
Nitrogen Management in Sugar Beet Using Remote Sensing and GIS, D.W. Franzen
Using Historical Management to Reduce Soil Sampling Errors, D.E. Clay, N. Kitchen, C.G. Carlson, J. Kleinjan, and J. Chang
Developing Productivity Zones from Multiple Years of Yield Monitor Data, J. Kleinjan, D.E. Clay, C.G. Carlson, and S.A. Clay
Site-Specific Weed Management in Growers’ Fields: Predictions from Hand-Drawn Maps, L.J. Wiles, R. Bobbitt, and P. Westra
Map Quality Assessment for Site-Specific Fertility Management, T.G. Mueller
Gleaning More Information from Yield Data, T.S. Murrell, Q.B. Rund, and H.F. Reetz, Jr.
Soil Salinity Mapping Using ArcGIS, F. Cassel S.
Using GIS and On-the-Go Soil Strength Sensing Technology for Variable-Depth Tillage Assessment, P. Andrade-Sanchez and S.K. Upadhyaya
Collocating Multiple Self-Generated Data Layers, V.I. Adamchuk and C. Wang
Index