GIS applications in agriculture /

Table Of Contents:

Application of GIS to Integrated Pest Management on U.S. Fish and Wildlife Service Land 1(34)

Bruce Seelig

James Alfonso

Executive Summary 1(1)

Introduction 2(2)

Methods 4(7)

Results 11(17)

Soils Data 12(7)

Land-use Data 19(1)

Proximity Data 20(2)

Pesticide Application/Properties 22(1)

Summation of Delivery Potential Factors 22(6)

Conclusions 28(7)

References 32(3)

Nitrogen Management in Sugar Beet Using Remote Sensing and GIS 35(14)

David W. Franzen

Executive Summary 35(1)

Introduction 36(2)

Methods 38(2)

Results 40(7)

Using Satellite Images and GIS to Help Solve Sugar Beet Production Problems 41(3)

Use of a Ground-Based Sensor to Delineate N Management Zones from Sugar Beet Tops 44(3)

Summary 47(2)

Acknowledgments 47(1)

References 47(2)

Using Historical Management to Reduce Soil Sampling Errors 49(16)

David E. Clay

N. Kitchen

C. Gregg Carlson

Jonathan Kleinjan

Jiyul Chang

Executive Summary 49(1)

Introduction 50(1)

Methods 50(1)

Results 51(11)

Impacts of Homesteads and Other Human Factors on Nutrient Variability 51(2)

GIS Application 53(9)

Summary Effects of Humans on Nutrient Variability 62(1)

Summary 62(3)

Acknowledgments 63(1)

References 63(2)

Developing Productivity Zones from Multiple Years of Yield Monitor Data 65(16)

Jonathan Kleinjan

David E. Clay

C. Gregg Carlson

Sharon A. Clay

Executive Summary 65(1)

Introduction 66(1)

Methods 66(8)

Background 66(1)

Cleaning Yield Monitor Data 67(1)

Gridding Data 67(1)

Statistical Calculations 67(2)

Identifying Productivity Zones 69(5)

Calculating Zone Impacts on Yield Variability 74(1)

Results and Discussion 74(2)

Conclusions 76(1)

Exercise: Mapping Productivity Zones 77(4)

Overview 77(1)

File Formats 77(1)

Mapping Productivity Zones 77(1)

Acknowledgments 78(1)

References 78(3)

Site-Specific Weed Management in Growers' Fields: Predictions from Hand-Drawn Maps 81(22)

Lori J. Wiles

R. Bobbitt

Philip Westra

Executive Summary 81(1)

Introduction 82(2)

Site-Specific Strategies for Weed Management 83(1)

Variability in the Benefits of Site-Specific Weed Management 83(1)

Overview of the WeedSite Program 84(1)

Evaluating Site-Specific Weed Management 85(5)

Creating a Scenario 85(3)

Identifying Polygons 88(1)

Predicting Outcomes for Simulation Polygons 88(1)

Decision Algorithms 88(1)

Viewing Results 89(1)

Examples with Maps Drawn by Agricultural Consultants 90(6)

Predictions: What We Know 92(1)

Predictions: What We Are Learning 93(3)

Limitations: Accuracy and Speed 96(1)

Conclusions 96(7)

Acknowledgment 99(1)

References 99(4)

Map Quality Assessment for Site-Specific Fertility Management 103(18)

T.G. Mueller

Executive Summary 103(1)

Introduction 104(1)

Materials and Methods 105(3)

Results 108(2)

Summary and Conclusions 110(1)

GIS Application 111(10)

Acknowledgment 115(4)

References 119(2)

Gleaning More Information from Yield Data 121(20)

T.S. Murrell

Q.B. Rund

H.F. Reetz, Jr.

Executive Summary 121(1)

Introduction 122(2)

Methods 124(4)

Visualizing Profitability 124(2)

Visualizing Production 126(1)

Visualizing Partial Nutrient Budgets 126(2)

Results 128(3)

Visualizing Profitability 128(1)

Visualizing Production 129(1)

Visualizing Partial Nutrient Budgets 130(1)

Conclusions 131(1)

Step-by-Step Exercises Using ArcGIS 8.2 132(9)

Visualizing Profitability 133(1)

Categorizing Profitability 134(1)

Visualizing Profit Consistency 135(4)

Acknowledgments 139(1)

References 139(2)

Soil Salinity Mapping Using ArcGIS 141(22)

Florence Cassel S.

Executive Summary 141(1)

Introduction 142(1)

Methods 143(4)

Soil Salinity Assessment 143(1)

Soil Salinity Mapping 144(1)

Salinity Data 144(1)

Field Boundary Data 145(1)

Coordinate System 145(2)

Correlating Soil Salinity Data with Other Soil and Crop Parameters 147(1)

Results 147(14)

Setting the Working Environment 147(1)

Importing Data Into ArcGIS 148(1)

Salinity Data 148(2)

Field Boundary Data 150(1)

Layer Properties 150(2)

Spatial Analyses 152(1)

Spatial Analyst Extension 152(1)

Raster Interpolation 153(3)

Contour Maps 156(1)

Using the Salinity Map for Precision Agriculture 157(2)

Correlating Soil Salinity Data with Other Soil Parameters 159(1)

Map Layout 160(1)

Conclusions 161(2)

References 162(1)

Using GIS and On-the-Go Soil Strength Sensing Technology for Variable-Depth Tillage Assessment 163(22)

Pedro Andrade-Sanchez

Shrinivasa K. Upadhyaya

Executive Summary 163(1)

Introduction 164(1)

Literature Review 164(1)

Background Information 165(1)

Methods 166(1)

Results 167(11)

Regression Analysis of UCD-SCPS Output and Cone Index Data 167(1)

Tutorial: Visualization of CI-Equivalent Quantities 167(11)

Conclusions 178(7)

Acknowledgments 179(1)

References 179(1)

Appendix 9.1 Campbell Scientific CR23X Data Logger Code 180(5)

Collocating Multiple Self-Generated Data Layers 185(12)

Viacheslav I. Adamchuk

Chenguang Wang

Executive Summary 185(1)

Introduction 186(1)

Methods 187(4)

Results 191(5)

Conclusions 196(1)

Supplemental Files 196(1)

References 196(1)
Index 197