[PDF] Mathematical Applications In Agriculture eBook

Author : Nina H. Mitchell
Publisher : Cengage Learning
Page : 297 pages
File Size : 19,56 MB
Release : 2011-10-14
Category : Science
ISBN : 9781111310660

GET BOOK

Students get the applied math skills they need for the modern farming industry with MATHEMATICAL APPLICATIONS IN AGRICULTURE, 2nd Edition. Invaluable in any area of agriculture-from livestock and dairy production to horticulture and agronomy -the text focuses on methods for solving problems students will encounter in the real world using math and logic skills. Clearly written and thoughtfully organized, the stand-alone chapters on mathematics involved in crop production, livestock production, horticulture, and financial management allow instructors flexibility in selecting the topics most appropriate to a given region, while line drawings, charts, graphs, case studies, examples, and sample problems help students grasp the concepts and hone their critical thinking skills. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Author : Nina H. Mitchell
Publisher : Cengage Learning
Page : 233 pages
File Size : 29,77 MB
Release : 2004
Category : Science
ISBN : 9781401835491

GET BOOK

This book teaches the many mathematical applications used in crop production, livestock production and financial management in the agriculture business, skills which are essential for success as an agriculture professional. By giving readers a solid foundation in arithmetic, applied geometry and algebra as they relate to agriculture, the material presented will help develop their ability to think through the many mathematical challenges they will face. Case studies, sample problems, charts, and graphs fully illustrate the important concepts presented.

Author : Nina H. Mitchell
Publisher : Wiley-Blackwell
Page : 416 pages
File Size : 22,76 MB
Release : 2003-08-01
Category : Mathematics
ISBN : 9780813816296

GET BOOK

Many colleges and universities have discovered that students enrolled in their agriculture programs are lacking in their abilities to perform mathematically and have varying skill levels. Additionally, many of these students are unable to apply previously learned mathematical skills to real-world, agriculturally significant situations. This user-friendly text/reference is designed to: middot; provide the student with a solid foundation in practical mathematical applications to agriculture middot; provide the student with the opportunity to develop his/her thinking skills by the way the problems are designed middot; provide the student with some real world agriculturally- applicable facts and situations. All problems in the book are application problems. Part I deals with mathematical operations involving fractions, area, volume, slope, graphs, etc. It contains three chapters and is the foundation for the rest of the book. Part II deals with mathematics involved in crop production such as soil preparation, harvesting, storage, etc. for such crops as corn, wheat, soybeans, cotton and more. Part III deals with the mathematics involved in livestock production such as cattle, swine, poultry, and more. Part IV deals with the mathematics involved in agribusiness such as elevators/milling companies, fertilizer/chemical suppliers, feed suppliers, etc. and mathematics involved in agribusiness and personal finances. A handy Appendix contains a quick review of arithmetic, applied geometry, algebra, as well as tables of measurements. Ag Facts and Chapter Skill Tests are available to maintain the studentsrsquo; interest and monitor skill progression. A helpful Teacherrsquo;s Solutions Manual is also available

Author : Francis J. Pierce
Publisher : CRC Press
Page : 218 pages
File Size : 37,26 MB
Release : 2007-02-13
Category : Science
ISBN : 1420007718

GET BOOK

As the first volume in a unique series concentrating on in-depth discussions of GIS topics, GIS Applications in Agriculture examines ways that this powerful technology can help farmers/firms to produce a greater abundance of crops with more efficiency and at lower costs. Each chapter describes the nature of the problem, examines the purpose of the GIS application, describes methods used to develop the application, provides results, and offers a conclusion as well as other supportive information. When appropriate, it presents the underlying statistical approach for the GIS software that is used. This text also includes a CD-ROM that features data sets and the full color maps produced by the use of GIS.

Author : W. Day
Publisher : Elsevier
Page : 463 pages
File Size : 14,41 MB
Release : 2014-07-04
Category : Technology & Engineering
ISBN : 1483298396

GET BOOK

This title provides a general overview of recent developments and research into types of systems and their uses in the agricultural and horticultural industry. 64 papers are included, containing both theoretical models and applied examples for greenhouse systems, harvesting technology and plant factory systems.

Author : J. H. M. Thornley
Publisher : CABI
Page : 924 pages
File Size : 37,59 MB
Release : 2007
Category : Technology & Engineering
ISBN : 085199010X

GET BOOK

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.

Author : Petraq Papajorgji
Publisher : Springer Science & Business Media
Page : 522 pages
File Size : 39,3 MB
Release : 2009-02-28
Category : Computers
ISBN : 0387751815

GET BOOK

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.

Author : Harry M. Kaiser
Publisher : Wiley
Page : 0 pages
File Size : 29,12 MB
Release : 2012-01-18
Category : Business & Economics
ISBN : 9780470599365

GET BOOK

Mathematical Programming Models for Agriculture, Environmental, and Resource Economics provides a comprehensive overview of mathematical programming models and their applications to real world and important problems confronting agricultural, environmental, and resource economists. Unlike most mathematical programming books, the principal focus of this text is on applications of these techniques and models to the fields of agricultural, environmental, and resource economics. The three fundamental goals of the book are to provide the reader with: (1) a level of background sufficient to apply mathematical programming techniques to real world policy and business to conduct solid research and analysis, (2) a variety of applications of mathematical programming to important problems in the areas of agricultural, environmental, and resource economics, and (3) a firm foundation for preparation to more advanced, Ph.D. level books on linear and/or nonlinear programming. Despite its introductory nature, the text places significant emphasis on real world applications of mathematical programming to decision problems. A wide array of examples and case studies are used to convey the various programming techniques available to decision analysts.

Author : John O.S. Kennedy
Publisher : Springer Science & Business Media
Page : 343 pages
File Size : 47,43 MB
Release : 2012-12-06
Category : Science
ISBN : 9400941919

GET BOOK

Humans interact with and are part of the mysterious processes of nature. Inevitably they have to discover how to manage the environment for their long-term survival and benefit. To do this successfully means learning something about the dynamics of natural processes, and then using the knowledge to work with the forces of nature for some desired outcome. These are intriguing and challenging tasks. This book describes a technique which has much to offer in attempting to achieve the latter task. A knowledge of dynamic programming is useful for anyone interested in the optimal management of agricultural and natural resources for two reasons. First, resource management problems are often problems of dynamic optimization. The dynamic programming approach offers insights into the economics of dynamic optimization which can be explained much more simply than can other approaches. Conditions for the optimal management of a resource can be derived using the logic of dynamic programming, taking as a starting point the usual economic definition of the value of a resource which is optimally managed through time. This is set out in Chapter I for a general resource problem with the minimum of mathematics. The results are related to the discrete maximum principle of control theory. In subsequent chapters dynamic programming arguments are used to derive optimality conditions for particular resources.