Mathematical Modeling In Agriculture
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Mathematical Modeling In Agriculture
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Author : Sabyasachi Pramanik
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-16
Mathematical Modeling In Agriculture written by Sabyasachi Pramanik and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Technology & Engineering categories.
The main goal of the book is to explore the idea behind data modeling in smart agriculture using information and communication technologies and tools to make agricultural practices more functional, fruitful and profitable. The research in the book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers’ choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models were utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies. Farm management information systems (FMIS) have constantly advanced in complexity as they have incorporated new technology, the most recent of which is the internet. However, few FMIS have fully tapped into the internet’s possibilities, and the newly developing idea of precision agriculture receives little or no support in the FMIS that are now being sold. FMIS for precision agriculture must meet a few more criteria beyond those of regular FMIS, which increases the technological complexity of these systems’ deployment in a number of ways. In order to construct an FMIS that meet these extra needs, the authors here evaluated various cutting-edge web-based methods. The goal was to determine the requirements that precision agriculture placed on FMIS.
Mathematical Models In Agriculture
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Author : J. H. M. Thornley
language : en
Publisher: CABI
Release Date : 2007
Mathematical Models In Agriculture written by J. H. M. Thornley and has been published by CABI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Technology & Engineering categories.
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.
Data Driven Mathematical Modeling In Agriculture
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Author : Sabyasachi Pramanik
language : en
Publisher: CRC Press
Release Date : 2024-08-23
Data Driven Mathematical Modeling In Agriculture written by Sabyasachi Pramanik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Science categories.
The research in this book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers' choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models are utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies. Technical topics discussed in the book include: Precision agriculture Machine learning Wireless sensor networks IoT Deep learning
Mathematical Modeling In Agriculture
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Author : Sabyasachi Pramanik
language : en
Publisher: John Wiley & Sons
Release Date : 2024-11-20
Mathematical Modeling In Agriculture written by Sabyasachi Pramanik and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-20 with Technology & Engineering categories.
The main goal of the book is to explore the idea behind data modeling in smart agriculture using information and communication technologies and tools to make agricultural practices more functional, fruitful and profitable. The research in the book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers’ choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models were utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies. Farm management information systems (FMIS) have constantly advanced in complexity as they have incorporated new technology, the most recent of which is the internet. However, few FMIS have fully tapped into the internet’s possibilities, and the newly developing idea of precision agriculture receives little or no support in the FMIS that are now being sold. FMIS for precision agriculture must meet a few more criteria beyond those of regular FMIS, which increases the technological complexity of these systems’ deployment in a number of ways. In order to construct an FMIS that meet these extra needs, the authors here evaluated various cutting-edge web-based methods. The goal was to determine the requirements that precision agriculture placed on FMIS.
Mathematical Models Of Crop Growth And Yield
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Author : Allen R. Overman
language : en
Publisher: CRC Press
Release Date : 2002-08-27
Mathematical Models Of Crop Growth And Yield written by Allen R. Overman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-08-27 with Technology & Engineering categories.
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
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Author : Christopher B. S. Teh
language : en
Publisher: Dissertation.com
Release Date : 2006
Introduction To Mathematical Modeling Of Crop Growth written by Christopher B. S. Teh and has been published by Dissertation.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Technology & Engineering categories.
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 Modeling For System Analysis In Agricultural Research
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Author : K. Vohnout
language : en
Publisher: Elsevier
Release Date : 2003-03-27
Mathematical Modeling For System Analysis In Agricultural Research written by K. Vohnout and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-27 with Science categories.
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.
Mathematical Models In Agriculture
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Author : J. France
language : en
Publisher: Butterworth-Heinemann
Release Date : 1984
Mathematical Models In Agriculture written by J. France and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Mathematics categories.
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.
Mathematical And Control Applications In Agriculture And Horticulture
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Author : W. Day
language : en
Publisher: Elsevier
Release Date : 2014-07-04
Mathematical And Control Applications In Agriculture And Horticulture written by W. Day and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-04 with Technology & Engineering categories.
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.