LEADER 05219oam 2200769I 450 001 9910781296703321 005 20200520144314.0 010 $a0-429-14541-1 010 $a1-4200-9271-5 024 7 $a10.1201/b10600 035 $a(CKB)2550000000031691 035 $a(EBL)665561 035 $a(OCoLC)86068782 035 $a(SSID)ssj0000469576 035 $a(PQKBManifestationID)11280842 035 $a(PQKBTitleCode)TC0000469576 035 $a(PQKBWorkID)10511164 035 $a(PQKB)11281824 035 $a(MiAaPQ)EBC665561 035 $a(Au-PeEL)EBL665561 035 $a(CaPaEBR)ebr10448667 035 $a(CaONFJC)MIL694049 035 $a(OCoLC)759865770 035 $a(PPN)15307261X 035 $a(EXLCZ)992550000000031691 100 $a20180331d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aGIS applications in agriculture$hVolume two$iNutrient management for energy efficiency /$fedited by David E. Clay, John F. Shanahan 210 1$aBoca Raton, Fla. :$cCRC Press,$d2011. 215 $a1 online resource (464 p.) 225 1 $aGIS applications in agriculture 300 $aDescription based upon print version of record. 311 $a1-322-62767-3 311 $a1-4200-9270-7 320 $aIncludes bibliographical references and index. 327 $aFront Cover; Contents; Series Preface; Preface; Editors; Contributors; Chapter 1: Energy and Climate Implications for Agricultural Nutrient Use Efficiency; Chapter 2: Nutrient Management for Improved Energy Efficiency; Chapter 3: Using Precision Farming to Overcome Yield-Limiting Factors in Southern Brazil Oxisols: A Case Study; Chapter 4: Collecting and Analyzing Soil Spatial Information Using Kriging and Inverse Distance; Chapter 5: Integration of USDA-NRCS Web Soil Survey and Site Collected Data 327 $aChapter 6: Space, Time, Remote Sensing, and Optimal Nitrogen Fertilization Rates: A Fuzzy Logic ApproachChapter 7: Digital Northern Great Plains and Zone Mapping Application for Precision Agriculture; Chapter 8: Spatial Variability of Field Machinery Use and Efficiency ; Chapter 9: Precision Manure Application Requirements; Chapter 10: Case Study for Improving Nutrient Management Efficiency by Optimizing the Plant Population; Chapter 11: Soil Water Status Maps for Variable Rate Irrigation 327 $aChapter 12: Maximizing Nutrient Efficiency through the Adoption of Management Practices That Maintain Soil Organic Carbon: CalcChapter 13: Predictive Mapping of Soil Organic Carbon: A Case Study Using Geographically Weighted Regression Approach; Chapter 14: Tillage and Crop Residue Effects on Soil Carbon Turnover Using the Michaelis-Menten Approach; Chapter 15: Geospatial Management of Andean Technology by the Inca Empire; Chapter 16: Calculating Energy Efficiency of Applying Fresh and Composted Manure to Soil 327 $aChapter 17: Quantifying Greenhouse Gas (CO2, CH4, and N2O) Fluxes from Soil in a PastureChapter 18: Improved Nitrogen and Energy-Use Efficiency Using NIR-Estimated Soil Organic Carbon and N Simulation Modeling; Chapter 19: Computing Wheat Nitrogen Requirements from Grain Yield and Protein Maps; Chapter 20: Review of Low- and High-Technology Nitrogen Management Approaches for Improved Nitrogen Use Efficiency; Chapter 21: Use of GIS-Based Site-Specific Nitrogen Management for Improving Energy Efficiency; Chapter 22: Geographic Information and the Management of Animal Manure 327 $aChapter 23: Spatial Ramifications of Crop Selection: Water Quality and Biomass EnergyChapter 24: Estimating Soil Productivity and Energy Efficiency Using the USDA Web Soil Survey, Soil Productivity Index Calculat; Back Cover 330 $aWe are entering a new era in production agronomics. Agricultural scientists the world over call for the development of techniques that simultaneously increase soil carbon storage and reduce agriculture's energy use. In response, site-specific or precision agriculture has become the focus and direction for the three motivating forces that are changing agriculture today: the expanding capacity of personal computers, the molecular biology revolution, and the recent developments in information technology such as the increasing use of geographical information systems (GIS).Using ma 410 0$aGIS applications in agriculture series. 517 3 $aNutrient management for energy efficiency 606 $aAgriculture$xRemote sensing 606 $aGeographic information systems 606 $aAgricultural mapping 606 $aAgriculture$xData processing 606 $aPlants$xNutrition 615 0$aAgriculture$xRemote sensing. 615 0$aGeographic information systems. 615 0$aAgricultural mapping. 615 0$aAgriculture$xData processing. 615 0$aPlants$xNutrition. 676 $a631.8/1 701 $aClay$b David$g(David E.)$01339603 701 $aShanahan$b John Francis$f1955-$01491418 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910781296703321 996 $aGIS applications in agriculture$93713228 997 $aUNINA