Mathematical Models in Agriculture

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Publisher : CABI
ISBN 13 : 085199010X
Total Pages : 924 pages
Book Rating : 4.8/5 (519 download)

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Book Synopsis Mathematical Models in Agriculture by : J. H. M. Thornley

Download or read book Mathematical Models in Agriculture written by J. H. M. Thornley and published by CABI. This book was released on 2007 with total page 924 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction to Mathematical Modeling of Crop Growth

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Author :
Publisher : Dissertation.com
ISBN 13 : 1581129998
Total Pages : 278 pages
Book Rating : 4.5/5 (811 download)

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Book Synopsis Introduction to Mathematical Modeling of Crop Growth by : Christopher B. S. Teh

Download or read book Introduction to Mathematical Modeling of Crop Growth written by Christopher B. S. Teh and published by Dissertation.com. This book was released on 2006 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 of Crop Growth and Yield

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Author :
Publisher : CRC Press
ISBN 13 : 0824743598
Total Pages : 341 pages
Book Rating : 4.8/5 (247 download)

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Book Synopsis Mathematical Models of Crop Growth and Yield by : Allen R. Overman

Download or read book Mathematical Models of Crop Growth and Yield written by Allen R. Overman and published by CRC Press. This book was released on 2002-08-27 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Mathematical Modeling for System Analysis in Agricultural Research

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Publisher : Elsevier
ISBN 13 : 0080535887
Total Pages : 452 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Mathematical Modeling for System Analysis in Agricultural Research by : K. Vohnout

Download or read book Mathematical Modeling for System Analysis in Agricultural Research written by K. Vohnout and published by Elsevier. This book was released on 2003-03-27 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Working with Dynamic Crop Models

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Publisher : Academic Press
ISBN 13 : 0444594469
Total Pages : 504 pages
Book Rating : 4.4/5 (445 download)

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Book Synopsis Working with Dynamic Crop Models by : Daniel Wallach

Download or read book Working with Dynamic Crop Models written by Daniel Wallach and published by Academic Press. This book was released on 2013-11-25 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition of Working with Dynamic Crop Models is meant for self-learning by researchers or for use in graduate level courses devoted to methods for working with dynamic models in crop, agricultural, and related sciences. Each chapter focuses on a particular topic and includes an introduction, a detailed explanation of the available methods, applications of the methods to one or two simple models that are followed throughout the book, real-life examples of the methods from literature, and finally a section detailing implementation of the methods using the R programming language. The consistent use of R makes this book immediately and directly applicable to scientists seeking to develop models quickly and effectively, and the selected examples ensure broad appeal to scientists in various disciplines. New to this edition: 50% new content – 100% reviewed and updated Clearly explains practical application of the methods presented, including R language examples Presents real-life examples of core crop modeling methods, and ones that are translatable to dynamic system models in other fields

Mathematical Models in Agriculture

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Author :
Publisher : Butterworth-Heinemann
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Mathematical Models in Agriculture by : J. France

Download or read book Mathematical Models in Agriculture written by J. France and published by Butterworth-Heinemann. This book was released on 1984 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Role of mathematical models in agriculture and agricultural research. Techniques: dynamic deterministic modelling. Techniques: mathematical programming. Testing and evaluation of models. Growth functions. Weather. Plant and crop processes. Crop responses and models. Plant diseases and pest. Animal processes. Animal products. Farm planning and control: I. Farm planning and control.

Building Mathematical Models in Excel

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Publisher : Universal-Publishers
ISBN 13 : 1627340386
Total Pages : 352 pages
Book Rating : 4.6/5 (273 download)

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Book Synopsis Building Mathematical Models in Excel by : Christopher Teh Boon Sung

Download or read book Building Mathematical Models in Excel written by Christopher Teh Boon Sung and published by Universal-Publishers. This book was released on 2015-05-18 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is for agriculturists, many of whom are either novices or non-computer programmers, about how they can build their mathematical models in Microsoft Excel. Of all modeling platforms, spreadsheets like Excel require the least proficiency in computer programming. This book introduces an Excel add-in called BuildIt (available for free as download) that shields users from having to use Excel's VBA (Visual Basic for Applications) programming language and yet allows agriculturists to build simple to large complex models without having to learn complicated computer programming techniques or to use sophisticated Excel techniques. This book first discusses how BuildIt works and how it is used to build models. Examples range from the simple to progressively more complex mathematical models. Ultimately, readers are taught how to build a generic crop growth model from its five core components: meteorology, canopy photosynthesis, energy balance, soil water, and crop growth development. Ultimately, agriculturists will be able to build their own mathematical models in Excel and concentrate more on the science and mathematics of their modeling work rather than being distracted by the intricacies of computer programming.

Practical Mathematics for Precision Farming

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Publisher : John Wiley & Sons
ISBN 13 : 0891183612
Total Pages : 272 pages
Book Rating : 4.8/5 (911 download)

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Book Synopsis Practical Mathematics for Precision Farming by : David E. Clay

Download or read book Practical Mathematics for Precision Farming written by David E. Clay and published by John Wiley & Sons. This book was released on 2020-01-22 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the public and producers becomes more aware of the environmental and economic benefits of precision farming, there has been increased demand for quality training to accurately evaluate spatial variability within fields. Practical Mathematics in Precision Farming provides hand-on training and examples for certified crop consultants (CCAs), farmers, crop consultants, and students (both undergraduate and graduate) on how to conduct to conduct and analyze on-farm studies, write simple programs, use precision techniques to scout for pests and collect soil samples, develop management zones, determine the cost of production, assess the environmental consequences of precision techniques, understand soil test results, and develop site-specific nutrient and plant population algorithms. Using real agronomic examples, the reader is taught the crucial task of managing products and inputs for application at the right rate, place, and time.

Mathematical Models of Plant-Herbivore Interactions

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Author :
Publisher : CRC Press
ISBN 13 : 1498769187
Total Pages : 240 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Mathematical Models of Plant-Herbivore Interactions by : Zhilan Feng

Download or read book Mathematical Models of Plant-Herbivore Interactions written by Zhilan Feng and published by CRC Press. This book was released on 2017-09-07 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Models of Plant-Herbivore Interactions addresses mathematical models in the study of practical questions in ecology, particularly factors that affect herbivory, including plant defense, herbivore natural enemies, and adaptive herbivory, as well as the effects of these on plant community dynamics. The result of extensive research on the use of mathematical modeling to investigate the effects of plant defenses on plant-herbivore dynamics, this book describes a toxin-determined functional response model (TDFRM) that helps explains field observations of these interactions. This book is intended for graduate students and researchers interested in mathematical biology and ecology.

Mathematical Modelling in Plant Biology

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Author :
Publisher : Springer
ISBN 13 : 3319990705
Total Pages : 219 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Mathematical Modelling in Plant Biology by : Richard J. Morris

Download or read book Mathematical Modelling in Plant Biology written by Richard J. Morris and published by Springer. This book was released on 2018-11-05 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Progress in plant biology relies on the quantification, analysis and mathematical modeling of data over different time and length scales. This book describes common mathematical and computational approaches as well as some carefully chosen case studies that demonstrate the use of these techniques to solve problems at the forefront of plant biology. Each chapter is written by an expert in field with the goal of conveying concepts whilst at the same time providing sufficient background and links to available software for readers to rapidly build their own models and run their own simulations. This book is aimed at postgraduate students and researchers working the field of plant systems biology and synthetic biology, but will also be a useful reference for anyone wanting to get into quantitative plant biology.

Advances in Modeling Agricultural Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 0387751815
Total Pages : 522 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Advances in Modeling Agricultural Systems by : Petraq Papajorgji

Download or read book Advances in Modeling Agricultural Systems written by Petraq Papajorgji and published by Springer Science & Business Media. This book was released on 2009-02-28 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agriculture has experienced a dramatic change during the past decades. The change has been structural and technological. Structural changes can be seen in the size of current farms; not long ago, agricultural production was organized around small farms, whereas nowadays the agricultural landscape is dominated by large farms. Large farms have better means of applying new technologies, and therefore technological advances have been a driving force in changing the farming structure. New technologies continue to emerge, and their mastery and use in requires that farmers gather more information and make more complex technological choices. In particular, the advent of the Internet has opened vast opportunities for communication and business opportunities within the agricultural com- nity. But at the same time, it has created another class of complex issues that need to be addressed sooner rather than later. Farmers and agricultural researchers are faced with an overwhelming amount of information they need to analyze and synthesize to successfully manage all the facets of agricultural production. This daunting challenge requires new and complex approaches to farm management. A new type of agricultural management system requires active cooperation among multidisciplinary and multi-institutional teams and ref- ing of existing and creation of new analytical theories with potential use in agriculture. Therefore, new management agricultural systems must combine the newest achievements in many scientific domains such as agronomy, economics, mathematics, and computer science, to name a few.

Modelling Nature

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Publisher : CABI
ISBN 13 : 1786393107
Total Pages : 281 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Modelling Nature by : Edward Gillman

Download or read book Modelling Nature written by Edward Gillman and published by CABI. This book was released on 2019-05-30 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This short textbook introduces students to the concept of describing natural systems using mathematical models. We highlight the variety of ways in which natural systems lend themselves to mathematical description and the importance of models in revealing fundamental processes. The process of science via the building, testing and use of models (theories) is described and forms the structure of the book. The book covers a broad range from the molecular to ecosystems and whole-Earth phenomena. Themes running through the chapters include scale (temporal and spatial), change (linear and nonlinear), emergent phenomena and uncertainty. Mathematical descriptions are kept to a minimum and we illustrate mechanisms and results in graphical form wherever possible. Essential mathematical details are described fully, with the use of boxes. The mathematics supports but does not lead the text.

Mathematical Models in Agriculture

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Publisher :
ISBN 13 :
Total Pages : 335 pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Mathematical Models in Agriculture by : J. H. M. Thornley

Download or read book Mathematical Models in Agriculture written by J. H. M. Thornley and published by . This book was released on 2007 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt:

XIV International Scientific Conference “INTERAGROMASH 2021"

Download XIV International Scientific Conference “INTERAGROMASH 2021

Author :
Publisher : Springer Nature
ISBN 13 : 3030816192
Total Pages : 940 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis XIV International Scientific Conference “INTERAGROMASH 2021" by : Alexey Beskopylny

Download or read book XIV International Scientific Conference “INTERAGROMASH 2021" written by Alexey Beskopylny and published by Springer Nature. This book was released on 2021-10-30 with total page 940 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains original and fundamental research papers in the following areas: engineering technologies for precision agriculture, agricultural systems management and digitalization in agriculture, logistics in agriculture, and other topics. Selected materials of the largest regional scientific event—INTERAGROMASH 2021 conference–included in this book present the results of the latest research in the areas of precision agriculture and agricultural machinery industry. The book is aimed for professionals and practitioners, for researchers, scholars, and producers. The materials presented here are used in the educational process at specific agricultural universities or during vocational training at enterprises and become an indispensable helper to farm managers in making the best agronomic decisions. The book is also useful for representatives of regional authorities, as it gives an idea of existing high-tech solutions for agriculture.

Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering

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Publisher : IGI Global
ISBN 13 : 1799812170
Total Pages : 537 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering by : Kharchenko, Valeriy

Download or read book Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering written by Kharchenko, Valeriy and published by IGI Global. This book was released on 2019-12-06 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rise in population and the concurrently growing consumption rate necessitates the evolution of agriculture to adopt current computational technologies to increase production at a faster and smoother scale. While existing technologies may help in crop processing, there is a need for studies that seek to understand how modern approaches like artificial intelligence, fuzzy logic, and hybrid algorithms can aid the agricultural process while utilizing energy sources efficiently. The Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering is an essential publication that examines the benefits and barriers of implementing computational models to agricultural production and energy sources as well as how these models can produce more cost-effective and sustainable solutions. Featuring coverage on a wide range of topics such as bacterial foraging, swarm intelligence, and combinatorial optimization, this book is ideally designed for agricultural engineers, farmers, municipal union leaders, computer scientists, information technologists, sustainable developers, managers, environmentalists, industry professionals, academicians, researchers, and students.

Agricultural Systems Modeling and Simulation

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Publisher : CRC Press
ISBN 13 : 1482269767
Total Pages : 713 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Agricultural Systems Modeling and Simulation by : Robert M. Peart

Download or read book Agricultural Systems Modeling and Simulation written by Robert M. Peart and published by CRC Press. This book was released on 2018-10-03 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers a treatment of modern applications of modelling and simulation in crop, livestock, forage/livestock systems, and field operations. The book discusses methodologies from linear programming and neutral networks, to expert or decision support systems, as well as featuring models, such as SOYGRO, CROPGRO and GOSSYM/COMAX. It includes coverage on evaporation and evapotranspiration, the theory of simulation based on biological processes, and deficit irrigation scheduling.

Working with Dynamic Crop Models

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Author :
Publisher : Elsevier
ISBN 13 : 9780080461939
Total Pages : 462 pages
Book Rating : 4.4/5 (619 download)

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Book Synopsis Working with Dynamic Crop Models by : Francois Brun

Download or read book Working with Dynamic Crop Models written by Francois Brun and published by Elsevier. This book was released on 2006-05-10 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical models are being used more and more widely to study complex dynamic systems (global weather, ecological systems, hydrological systems, nuclear reactors etc. including the specific subject of this book, crop-soil systems). The models are important aids in understanding, predicting and managing these systems. Such models are complex and imperfect. One fundamental research direction is to seek a better understanding of how these systems function, and to propose mathematical expressions embodying that understanding. However, this is not sufficient. It is also essential to have tools (often mathematical and statistical methods) to aid in developing, improving and using the models built from those equations. The book is specifically concerned with the application of methods to crop models, but much of the material is also applicable to dynamic system models in other fields. The goal of this book is to fill that gap. * State-of-the-art methods explained simply and illustrated specifically for crop models * Parameter estimation – applying statistical methods to the complex case of crop models, including Bayesian methods * Includes model evaluation, understanding and estimating prediction error * Offers a unique data assimilation by using the Kalman filter and beyond