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| WORKING WITH DYNAMIC CROP MODELS
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Evaluation, Analysis, Parameterization, and Applications
To order this title, and for more information, click here
Edited By
Daniel Wallach, Institut National de la Recherche Agronomique INRA, ARCHE, Castanet Tolosan, France
David Makowski, Institut National de la Recherche Agronomique INRA, UMR INRA/INA, Thiverval-Grignon, France
James Jones, University of Florida, Agricultural and Biological Engineering Department, Gainesville, Florida, U.S.A.
Description
Many different mathematical and statistical methods are essential in crop modeling. They are necessary in the development, analysis and
application of crop models. Up to now, however, there has been no single source where crop modelers could learn about these methods.
Furthermore, these methods are often described in other contexts and their application to crop modeling is not always straightforward.
This book aims at making a large range of relevant mathematical and statistical methods accessible to crop modelers. Each methodology
chapter starts from basic principles and simple applications and builds gradually to state-of-the-art methods. Crop models are used as
examples, and practical advice on applying the methods to crop models is given.
Working with Dynamic Crop Models is an essential
learning and reference resource for students and researchers who want to understand and apply rigorous methods to crop models. This book
will also be of value for other fields which use dynamic models of complex systems.
Topics covered include:
* Parameter
estimation- including Bayesian methods
* Model evaluation- including prediction quality and decision quality
* Sensitivity analysis-
including global analysis and interactions
* Data assimilation- the Kalman filter and extensions
* Management optimization- including
stochastic optimization
* Models for multiple fields- emphasizing how to obtain input values
* Crop models and crop breeding - recent
advances in using crop
models
Audience
Researchers and graduate students in agronomy, agricultural and biological engineering, agricultural economics and agricultural statistics.
Teachers of advanced courses in modeling of biological systems.
Contents
1 The two forms of crop models
D. Wallach
2 Evaluating crop models
D. Wallach
3 Uncertainty and sensitivity analysis for crop models
H. Monod, C. Naud, D. Makowski
4 Parameter estimation for crop models
D. Makowski, J. Hillier, D. Wallach, B. Andrieu, M.-H. Jeuffroy
5 Data assimilation with crop models
D. Makowski, M. Guerif, J. W. Jones, W. Graham
6 Representing and optimizing management
decisions with crop models
J. E. Bergez, F. Garcia, D. Wallach
7 Using crop models for multiple fields
D. Leenhardt, D. Wallach, P.
Le Moigne, M. Guerif, A. Bruand, M. A. Casterad
SECTION II APPLICATIONS
8 Introduction to section II
9 Fundamental concepts of crop
models illustrated by a comparative approach
N. Brisson, J. Wery, K. Boote
10 Crop models with genotype parameters
M-H Jeuffroy,
A. Barbottin, J. W. Jones, J. Lecoeur
11 Model assisted genetic improvement of crops
C.D. Messina, K.J. Boote, C. Loffler, J.W. Jones,
and C.E. Vallejos
12 Parameterization and evaluation of a corn crop model
D. Wallach.
13 Evaluation of a model for kiwifruit
F. Lescourret
and D. Wallach
14 Sensitivity and uncertainty analysis of a static denitrification model
B. Gabrielle
15 Sensitivity analysis of
PASTIS, a model of nitrogen transport and transformation in the soil
P. Garnier
16 Sensitivity analysis of GENESYS, a model for
studying the effects of cropping system on gene flow
N. Colbach and N. Molinari
17 Data assimilation and parameter estimation for precision
agriculture with the crop model STICS
M. Guerif, V. Houles, D. Makowski and C. Lauvernet
18 Application of extended and ensemble Kalman
filters to soil carbon estimation
J. Jones and W. Graham
19 Analyzing and improving corn irrigation strategies with MODERATO, a combination
of a corn crop model and a decision model
J. E. Bergez, J. M. Deumier and B. Lacroix
20 Managing wheat for ethanol production. A multiple
criteria approach
C. Loyce, J. P. Rellier and J. M. Meynard
Appendix. Statistical notions
| Bibliographic details |
Hardbound, 462 pages, publication date: MAY-2006
ISBN-13: 978-0-444-52135-4
ISBN-10: 0-444-52135-6
Imprint: ELSEVIER
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| Price and Ordering |
Price:
USD 99.95
EUR 70.95
GBP 60.99
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Last update: 22 Sep 2009
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