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Agriculture; Mathematical models
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  • Mathematical Models of Crop Growth and Yieldby Allen R. Overman; Richard V. Scholtz III

    Marcel Dekker Inc 2002; US$ 99.95

    Featuring solutions to various differential equations, this text considers different characteristics of the functions related to the phenomenological growth model. more...

  • Working with Dynamic Crop Modelsby Daniel Wallach; Daniel Wallach; David Makowski; James W. Jones

    Elsevier 2006; US$ 101.00

    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.... more...

  • Mathematical Modeling for System Analysis in Agricultural Researchby K. Vohnout

    Elsevier 2003; US$ 235.00

    This book provides a clear picture of the use of applied mathematics as a tool for improving the accuracy of agricultural research. For decades, statistics has been regarded as the fundamental tool of the scientific method. With new breakthroughs in computers and computer software, it has become feasible and necessary to improve the traditional approach in agricultural research by including additional mathematical modeling procedures. The difficulty with the use of mathematics for agricultural scientists is that most courses in applied mathematics have been designed for engineering students. This publication is written by a professional in animal science targeting professionals in the biological, namely agricultural and animal scientists and... more...

  • Multiple Criteria Analysis for Agricultural Decisionsby C. Romero; T. Rehman

    Elsevier 2003; US$ 126.00

    This book presents the Multiple Criteria Decision Making (MCDM) paradigm for modelling agricultural decision-making in three parts. The first part, comprising two chapters, is philosophical in nature and deals with the concepts that define the underlying structure of the MCDM paradigm. The second part is the largest part consisting of five chapters, each of which presents the logic of a specific MCDM technique, and demonstrates how it can be used to model a particular decision problem. In the final part, some selected applications of the MCDM techniques to agricultural problems are presented and thus reinforce the development of an understanding of the MCDM paradigm. The book has been designed for use at different levels: as a textbook for... more...

  • Mathematical Modelling in Animal Nutritionby J. France; E. Kebreab

    CABI 2008; US$ 240.00

    Mathematical modelling is increasingly applicable to the practical sciences. Here, mathematical approaches are applied to the study of mechanisms of digestion and metabolism in primary animal species. It also explores common themes between species, and provides an integrated approach to mathematical modelling in animal nutrition. more...

  • Advances in Modeling Agricultural Systemsby Petraq J. Papajorgji; Panos M. Pardalos

    Springer 2008; US$ 129.00

    Presents a review of advances in the mathematical modeling of agricultural systems. This book covers a broad spectrum of problems and applications based on internet and communications technology, as well as methodological approaches based on the integration of different simulation and data management tools. more...

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