Working with dynamic crop models :: evaluation, analysis, parameterization, and applications /
This text focuses on methods for working with crop models, and in particular on mathematical and statistical methods. It is intended for use in a graduate level course in crop modeling and for researchers who wish to use crop models.
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| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Amsterdam ; London :
Elsevier,
2006.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | This text focuses on methods for working with crop models, and in particular on mathematical and statistical methods. It is intended for use in a graduate level course in crop modeling and for researchers who wish to use crop models. |
| Physical Description: | 1 online resource (xiv, 447 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 008046193X 9780080461939 9780444521354 0444521356 |
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| 300 | |a 1 online resource (xiv, 447 pages) : |b illustrations | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Cover -- Title -- Copyright -- Table of Contents -- List of Contributors -- Preface -- Overview -- Section I -- Methods -- Chapter 1: The two forms of crop models -- Chapter 2: Evaluating crop models -- Chapter 3: Uncertainty and sensitivity analysis for crop models -- Chapter 4: Parameter estimation for crop models -- Chapter 5: Data assimilation with crop models -- Chapter 6: Representing and optimizing management -- Chapter 7: Using crop models for multiple fields -- Section II -- Applications -- Chapter 10: Crop models with genotype parameters -- Chapter 11: Model-assisted genetic improvement of crops -- Chapter 12: Parameterization and evaluation of a corn crop model -- Chapter 13: Evaluation of a model for kiwifruit -- Chapter 14: Sensitivity and uncertainty analysis of a static denitrification model -- Chapter 15: Sensitivity analysis of PASTIS, a model of nitrogen transport and transformation in the soil -- Chapter 16: Sensitivity analysis of GENESYS, a model for studying the effect of cropping systems on gene flow -- Chapter 17: Data assimilation and parameter estimation for precision agriculture using the crop model STICS -- Chapter 18: Application of Extended and Ensemble Kalman Filters to soil carbon estimation -- Chapter 19: Analyzing and improving corn irrigation strategies with MODERATO, a combination of a corn crop model and a decision model -- Chapter 20: Managing wheat for ethanol production: a multiple criteria approach -- Chapter 8: Introduction to Section II -- Chapter 9: Fundamental concepts of crop models illustrated by a comparative approach -- Appendix: Statistical notions -- Answers to Exercises -- Index -- Last Page. | |
| 520 | |a This text focuses on methods for working with crop models, and in particular on mathematical and statistical methods. It is intended for use in a graduate level course in crop modeling and for researchers who wish to use crop models. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Crop yields |x Mathematical models. | |
| 650 | 0 | |a Crop yields |x Statistical methods. | |
| 650 | 0 | |a Crops |x Growth |x Mathematical models. | |
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| 650 | 0 | |a Agricultural mathematics. |0 http://id.loc.gov/authorities/subjects/sh85002381 | |
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| 650 | 6 | |a Cultures |x Croissance |x Méthodes statistiques. | |
| 650 | 6 | |a Agriculture |x Mathématiques. | |
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| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Agriculture |x Sustainable Agriculture. |2 bisacsh | |
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| 700 | 1 | |a Wallach, Daniel, |d 1942- |1 https://id.oclc.org/worldcat/entity/E39PBJpdWbJkQkP44cqQPqXDbd |0 http://id.loc.gov/authorities/names/n2006027634 | |
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| 700 | 1 | |a Jones, James W. | |
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| author2 | Wallach, Daniel, 1942- Makowski, David, 1972- Jones, James W. |
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| contents | Cover -- Title -- Copyright -- Table of Contents -- List of Contributors -- Preface -- Overview -- Section I -- Methods -- Chapter 1: The two forms of crop models -- Chapter 2: Evaluating crop models -- Chapter 3: Uncertainty and sensitivity analysis for crop models -- Chapter 4: Parameter estimation for crop models -- Chapter 5: Data assimilation with crop models -- Chapter 6: Representing and optimizing management -- Chapter 7: Using crop models for multiple fields -- Section II -- Applications -- Chapter 10: Crop models with genotype parameters -- Chapter 11: Model-assisted genetic improvement of crops -- Chapter 12: Parameterization and evaluation of a corn crop model -- Chapter 13: Evaluation of a model for kiwifruit -- Chapter 14: Sensitivity and uncertainty analysis of a static denitrification model -- Chapter 15: Sensitivity analysis of PASTIS, a model of nitrogen transport and transformation in the soil -- Chapter 16: Sensitivity analysis of GENESYS, a model for studying the effect of cropping systems on gene flow -- Chapter 17: Data assimilation and parameter estimation for precision agriculture using the crop model STICS -- Chapter 18: Application of Extended and Ensemble Kalman Filters to soil carbon estimation -- Chapter 19: Analyzing and improving corn irrigation strategies with MODERATO, a combination of a corn crop model and a decision model -- Chapter 20: Managing wheat for ethanol production: a multiple criteria approach -- Chapter 8: Introduction to Section II -- Chapter 9: Fundamental concepts of crop models illustrated by a comparative approach -- Appendix: Statistical notions -- Answers to Exercises -- Index -- Last Page. |
| ctrlnum | (OCoLC)441764392 |
| dewey-full | 631.5/58/015118 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
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| dewey-raw | 631.5/58/015118 |
| dewey-search | 631.5/58/015118 |
| dewey-sort | 3631.5 258 515118 |
| dewey-tens | 630 - Agriculture and related technologies |
| discipline | Agrar-/Forst-/Ernährungs-/Haushaltswissenschaft / Gartenbau |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn441764392 |
| illustrated | Illustrated |
| indexdate | 2025-04-11T08:36:27Z |
| institution | BVB |
| isbn | 008046193X 9780080461939 9780444521354 0444521356 |
| language | English |
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| publisher | Elsevier, |
| record_format | marc |
| spelling | Working with dynamic crop models : evaluation, analysis, parameterization, and applications / edited by Daniel Wallach, David Makowski, James W. Jones. Amsterdam ; London : Elsevier, 2006. 1 online resource (xiv, 447 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Cover -- Title -- Copyright -- Table of Contents -- List of Contributors -- Preface -- Overview -- Section I -- Methods -- Chapter 1: The two forms of crop models -- Chapter 2: Evaluating crop models -- Chapter 3: Uncertainty and sensitivity analysis for crop models -- Chapter 4: Parameter estimation for crop models -- Chapter 5: Data assimilation with crop models -- Chapter 6: Representing and optimizing management -- Chapter 7: Using crop models for multiple fields -- Section II -- Applications -- Chapter 10: Crop models with genotype parameters -- Chapter 11: Model-assisted genetic improvement of crops -- Chapter 12: Parameterization and evaluation of a corn crop model -- Chapter 13: Evaluation of a model for kiwifruit -- Chapter 14: Sensitivity and uncertainty analysis of a static denitrification model -- Chapter 15: Sensitivity analysis of PASTIS, a model of nitrogen transport and transformation in the soil -- Chapter 16: Sensitivity analysis of GENESYS, a model for studying the effect of cropping systems on gene flow -- Chapter 17: Data assimilation and parameter estimation for precision agriculture using the crop model STICS -- Chapter 18: Application of Extended and Ensemble Kalman Filters to soil carbon estimation -- Chapter 19: Analyzing and improving corn irrigation strategies with MODERATO, a combination of a corn crop model and a decision model -- Chapter 20: Managing wheat for ethanol production: a multiple criteria approach -- Chapter 8: Introduction to Section II -- Chapter 9: Fundamental concepts of crop models illustrated by a comparative approach -- Appendix: Statistical notions -- Answers to Exercises -- Index -- Last Page. This text focuses on methods for working with crop models, and in particular on mathematical and statistical methods. It is intended for use in a graduate level course in crop modeling and for researchers who wish to use crop models. Print version record. Crop yields Mathematical models. Crop yields Statistical methods. Crops Growth Mathematical models. Crops Growth Statistical methods. Agricultural mathematics. http://id.loc.gov/authorities/subjects/sh85002381 Cultures Rendement Modèles mathématiques. Cultures Rendement Méthodes statistiques. Cultures Croissance Modèles mathématiques. Cultures Croissance Méthodes statistiques. Agriculture Mathématiques. TECHNOLOGY & ENGINEERING Agriculture Agronomy General. bisacsh TECHNOLOGY & ENGINEERING Agriculture Sustainable Agriculture. bisacsh Agricultural mathematics fast Crop yields Mathematical models fast Crop yields Statistical methods fast Crops Growth Mathematical models fast Wallach, Daniel, 1942- https://id.oclc.org/worldcat/entity/E39PBJpdWbJkQkP44cqQPqXDbd http://id.loc.gov/authorities/names/n2006027634 Makowski, David, 1972- https://id.oclc.org/worldcat/entity/E39PCjxdfbRKbQYGMjw7dWXjmd http://id.loc.gov/authorities/names/n2006027638 Jones, James W. Print version: Working with dynamic crop models. 1st ed. Amsterdam ; Boston : Elsevier, 2006 0444521356 (DLC) 2006044578 (OCoLC)63702719 |
| spellingShingle | Working with dynamic crop models : evaluation, analysis, parameterization, and applications / Cover -- Title -- Copyright -- Table of Contents -- List of Contributors -- Preface -- Overview -- Section I -- Methods -- Chapter 1: The two forms of crop models -- Chapter 2: Evaluating crop models -- Chapter 3: Uncertainty and sensitivity analysis for crop models -- Chapter 4: Parameter estimation for crop models -- Chapter 5: Data assimilation with crop models -- Chapter 6: Representing and optimizing management -- Chapter 7: Using crop models for multiple fields -- Section II -- Applications -- Chapter 10: Crop models with genotype parameters -- Chapter 11: Model-assisted genetic improvement of crops -- Chapter 12: Parameterization and evaluation of a corn crop model -- Chapter 13: Evaluation of a model for kiwifruit -- Chapter 14: Sensitivity and uncertainty analysis of a static denitrification model -- Chapter 15: Sensitivity analysis of PASTIS, a model of nitrogen transport and transformation in the soil -- Chapter 16: Sensitivity analysis of GENESYS, a model for studying the effect of cropping systems on gene flow -- Chapter 17: Data assimilation and parameter estimation for precision agriculture using the crop model STICS -- Chapter 18: Application of Extended and Ensemble Kalman Filters to soil carbon estimation -- Chapter 19: Analyzing and improving corn irrigation strategies with MODERATO, a combination of a corn crop model and a decision model -- Chapter 20: Managing wheat for ethanol production: a multiple criteria approach -- Chapter 8: Introduction to Section II -- Chapter 9: Fundamental concepts of crop models illustrated by a comparative approach -- Appendix: Statistical notions -- Answers to Exercises -- Index -- Last Page. Crop yields Mathematical models. Crop yields Statistical methods. Crops Growth Mathematical models. Crops Growth Statistical methods. Agricultural mathematics. http://id.loc.gov/authorities/subjects/sh85002381 Cultures Rendement Modèles mathématiques. Cultures Rendement Méthodes statistiques. Cultures Croissance Modèles mathématiques. Cultures Croissance Méthodes statistiques. Agriculture Mathématiques. TECHNOLOGY & ENGINEERING Agriculture Agronomy General. bisacsh TECHNOLOGY & ENGINEERING Agriculture Sustainable Agriculture. bisacsh Agricultural mathematics fast Crop yields Mathematical models fast Crop yields Statistical methods fast Crops Growth Mathematical models fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85002381 |
| title | Working with dynamic crop models : evaluation, analysis, parameterization, and applications / |
| title_auth | Working with dynamic crop models : evaluation, analysis, parameterization, and applications / |
| title_exact_search | Working with dynamic crop models : evaluation, analysis, parameterization, and applications / |
| title_full | Working with dynamic crop models : evaluation, analysis, parameterization, and applications / edited by Daniel Wallach, David Makowski, James W. Jones. |
| title_fullStr | Working with dynamic crop models : evaluation, analysis, parameterization, and applications / edited by Daniel Wallach, David Makowski, James W. Jones. |
| title_full_unstemmed | Working with dynamic crop models : evaluation, analysis, parameterization, and applications / edited by Daniel Wallach, David Makowski, James W. Jones. |
| title_short | Working with dynamic crop models : |
| title_sort | working with dynamic crop models evaluation analysis parameterization and applications |
| title_sub | evaluation, analysis, parameterization, and applications / |
| topic | Crop yields Mathematical models. Crop yields Statistical methods. Crops Growth Mathematical models. Crops Growth Statistical methods. Agricultural mathematics. http://id.loc.gov/authorities/subjects/sh85002381 Cultures Rendement Modèles mathématiques. Cultures Rendement Méthodes statistiques. Cultures Croissance Modèles mathématiques. Cultures Croissance Méthodes statistiques. Agriculture Mathématiques. TECHNOLOGY & ENGINEERING Agriculture Agronomy General. bisacsh TECHNOLOGY & ENGINEERING Agriculture Sustainable Agriculture. bisacsh Agricultural mathematics fast Crop yields Mathematical models fast Crop yields Statistical methods fast Crops Growth Mathematical models fast |
| topic_facet | Crop yields Mathematical models. Crop yields Statistical methods. Crops Growth Mathematical models. Crops Growth Statistical methods. Agricultural mathematics. Cultures Rendement Modèles mathématiques. Cultures Rendement Méthodes statistiques. Cultures Croissance Modèles mathématiques. Cultures Croissance Méthodes statistiques. Agriculture Mathématiques. TECHNOLOGY & ENGINEERING Agriculture Agronomy General. TECHNOLOGY & ENGINEERING Agriculture Sustainable Agriculture. Agricultural mathematics Crop yields Mathematical models Crop yields Statistical methods Crops Growth Mathematical models |
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