Data Driven Mathematical Modeling in Agriculture

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Release : 2024-08-23
Genre : Science
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Book Rating : 970/5 ( reviews)

Data Driven Mathematical Modeling 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 Data Driven Mathematical Modeling in Agriculture write by Sabyasachi Pramanik. This book was released on 2024-08-23. Data Driven Mathematical Modeling in Agriculture available in PDF, EPUB and Kindle. 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

Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities

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Release : 2023-02-17
Genre : Mathematics
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Book Rating : 101/5 ( reviews)

Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities - 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 Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities write by Pramanik, Sabyasachi. This book was released on 2023-02-17. Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities available in PDF, EPUB and Kindle. A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens’ standards of living. The Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modeling, machine learning-based mathematical modeling, and more. It further delves into privacy and ethics in data analysis. Covering topics such as deep learning, optimization-based data science, and smart city automation, this premier reference source is an excellent resource for mathematicians, statisticians, computer scientists, civil engineers, government officials, students and educators of higher education, librarians, researchers, and academicians.

Advances in Modeling Agricultural Systems

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Release : 2009-02-28
Genre : Computers
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Book Rating : 815/5 ( reviews)

Advances in Modeling Agricultural Systems - 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 Advances in Modeling Agricultural Systems write by Petraq Papajorgji. This book was released on 2009-02-28. Advances in Modeling Agricultural Systems available in PDF, EPUB and Kindle. 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.

Mathematical Modeling for System Analysis in Agricultural Research

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Release : 2003-03-27
Genre : Science
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Book Rating : 887/5 ( reviews)

Mathematical Modeling for System Analysis in Agricultural Research - 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 Modeling for System Analysis in Agricultural Research write by K. Vohnout. This book was released on 2003-03-27. Mathematical Modeling for System Analysis in Agricultural Research available in PDF, EPUB and Kindle. 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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Release : 2007
Genre : Technology & Engineering
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Book Rating : 10X/5 ( reviews)

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.