| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910800080003321 |
|
|
Titolo |
GIS applications in agriculture . Volume two Nutrient management for energy efficiency / / edited by David E. Clay, John F. Shanahan |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Boca Raton, Fla. : , : CRC Press, , 2011 |
|
|
|
|
|
|
|
ISBN |
|
0-429-14541-1 |
1-4200-9271-5 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (464 p.) |
|
|
|
|
|
|
Collana |
|
GIS applications in agriculture |
|
|
|
|
|
|
Altri autori (Persone) |
|
ClayDavid (David E.) |
ShanahanJohn Francis <1955-> |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Agriculture - Remote sensing |
Geographic information systems |
Agricultural mapping |
Agriculture - Data processing |
Plants - Nutrition |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Front 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 |
Chapter 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 |
Chapter 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 |
Chapter 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 |
Chapter 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 |
|
|
|
|
|
|
Sommario/riassunto |
|
We 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 |
|
|
|
|
|
|
|
| |