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Mathematical Models of Crop Growth and Yield
Marcel Dekker Inc 2002; US$ 115.95Featuring solutions to various differential equations, this text considers different characteristics of the functions related to the phenomenological growth model. more...
Mathematical Modelling in Animal Nutrition
CABI 2008; US$ 240.00Mathematical 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...
Multiple Criteria Analysis for Agricultural Decisions
Elsevier Science 2003; US$ 130.95This 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,... more...
Advances in Modeling Agricultural Systems
Springer 2008; US$ 129.00Presents 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...
Working with Dynamic Crop Models
Elsevier Science 2006; US$ 106.95Many 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... more...
Mathematical Modeling for System Analysis in Agricultural Research
Elsevier Science 2003; US$ 240.00This 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... more...
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