Mathematical Modeling for System Analysis in Agricultural Research
Mathematical Modeling for System Analysis in Agricultural Research by K. Vohnout, published by Elsevier S & T in 2003, is a comprehensive resource consisting of 452 pages in English. This book offers insights into the application of mathematics as a tool to enhance the accuracy of agricultural research. It addresses the challenges faced by agricultural scientists in utilizing mathematical methods, which are often tailored for engineering students, and presents a structured approach to integrating mathematical modeling into agricultural studies.
Readers will find a detailed manual that guides them through the mathematical modeling of agricultural systems, from defining research problems to executing experiments. The content is designed for professionals in biological sciences, particularly those in agricultural and animal sciences, as well as graduate students. With a foundational knowledge of college algebra, calculus, and statistics, readers can engage with the methodologies presented, which include procedures for designing and analyzing experimental data. This edition serves as a practical reference for those looking to improve their research methodologies in the fields of agriculture and animal science.
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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 graduate students in agricultural and animal sciences. The only prerequisite for the reader to understand the topics of this book is an introduction to college algebra, calculus and statistics. This is a manual of procedures for the mathematical modeling of agricultural systems and for the design and analyses of experimental data and experimental tests. It is a step-by-step guide for mathematical modeling of agricultural systems, starting with the statement of the research problem and up to implementing the project and running system experiments.
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