Mathematical Models of Crop Growth and Yield - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Models of Crop Growth and Yield write by Allen R. Overman. This book was released on 2002-08-27. Mathematical Models of Crop Growth and Yield available in PDF, EPUB and Kindle. Highlighting effective, analytical functions that have been found useful for the comparison of alternative management techniques to maximize water and nutrient resources, this reference describes the application of viable mathematical models in data analysis to increase crop growth and yields. Featuring solutions to various differential equations, the book covers the characteristics of the functions related to the phenomenological growth model. Including more than 1300 literature citations, display equations, tables, and figures and outlining an approach to mathematical crop modeling, Mathematical Models of Crop Growth and Yield will prove an invaluable resource.
Introduction to Mathematical Modeling of Crop Growth
Introduction to Mathematical Modeling of Crop Growth - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Mathematical Modeling of Crop Growth write by Christopher B. S. Teh. This book was released on 2006. Introduction to Mathematical Modeling of Crop Growth available in PDF, EPUB and Kindle. Learning mathematical modeling need not be difficult. Unlike other books, this book not only lists the equations one-by-one, but explains in detail how they are each derived, used, and finally assembled into a computer program for model simulations. This book shows how mathematics is applied in agriculture, in particular to modeling the growth and yield of a generic crop. Topics covered are agriculture meteorology, solar radiation interception and absorption, evapotranspiration, energy and soil water balance, soil water flow, photosynthesis, respiration, and crop growth development. Rather than covering many modeling approaches but in superficial detail, this book selects one or two widely-used modeling approaches and discusses about them in depth. Principles learned from this book equips readers when they encounter other modeling approaches or when they develop their own crop models.
Introduction to Mathematical Modeling of Crop Growth
Introduction to Mathematical Modeling of Crop Growth - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Mathematical Modeling of Crop Growth write by Christopher Teh. This book was released on 2006-04-21. Introduction to Mathematical Modeling of Crop Growth available in PDF, EPUB and Kindle. Learning mathematical modeling need not be difficult. Unlike other books, this book not only lists the equations one-by-one, but explains in detail how they are each derived, used, and finally assembled into a computer program for model simulations. This book shows how mathematics is applied in agriculture, in particular to modeling the growth and yield of a generic crop. Topics covered are agriculture meteorology, solar radiation interception and absorption, evapotranspiration, energy and soil water balance, soil water flow, photosynthesis, respiration, and crop growth development. Rather than covering many modeling approaches but in superficial detail, this book selects one or two widely-used modeling approaches and discusses about them in depth. Principles learned from this book equips readers when they encounter other modeling approaches or when they develop their own crop models.
Mathematical Models in Agriculture
Mathematical Models in Agriculture - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Models in Agriculture write by J. H. M. Thornley. This book was released on 2007. Mathematical Models in Agriculture available in PDF, EPUB and Kindle. Role of mathematical models; Dynamic deterministic models; Mathematical programming; Basic biological processes; Growth functions; Simple dynamic growth models; Simple ecological models; Envinment and weather; Plant and crop processes; Crop models; Crop husbandry; Plant diseases and pests; Animal processes; Animal organs; Whole-animal models; Animal products; Animal husbandry; Animal diseases; Solutions exercises; Mathematical glossary.
A Memoir on Mathematical Models of Crop Growth and Yield
A Memoir on Mathematical Models of Crop Growth and Yield - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Memoir on Mathematical Models of Crop Growth and Yield write by Allen R. Overman. This book was released on 2008. A Memoir on Mathematical Models of Crop Growth and Yield available in PDF, EPUB and Kindle. This memoir is the eighth in a series related to Mathematical Models of Crop Growth and Yield. The series focuses on ideas which have been found useful in describing crop response to applied nutrients (N, P, and K) and accumulation of biomass and mineral elements with calendar time. No attempt has been made to survey the broad field of crop modeling. Results have evolved out of work with farmers and engineers over a period of nearly forty years. There has been extensive collaboration with other scientists in Florida as well as other regions within the USA. Analysis has been drawn from the large array of data from research conducted around the world over 150 years. While basic concepts from physics, chemistry, and biology have been incorporated, the models have been developed at the field scale for the sake of application. Methods of applied malthematics and statistics have been utilized to provide a more rigorous foundation to the models. Procedures from regression and analysis of variance have been borrowed from statistics. In fact this is the focus of the present memoir. As often occurs in research, the question is how to analyze a complex set of data. For example, response of biomass and mineral uptake to applied nutrients (N, P, and K) where some other management factor (such as intercropping) is varied as well. Is it appropriate to average over the response variables? Are there some parameters in the model which are common among different management factors? One can make such judgments based either on visual inspection of data or on statistical analysis. The goal is to simplify the analysis as much as can be justified. Throughout this analysis analytical functions have been used, in contrast to numerical procedures. A particular set of data for response of corn (Zea mays L.) to applied N, P, and K is used to illustrate the analytical procedures. The extended logistic model describes the data rather well. Coupling of biomass yield and plant N uptake is achieved with a hyperbolic phase relation. The memoir contains 36 pages, including 19 references, 21 tables, and 11 figures.
