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Data Driven Mathematical Modeling In Agriculture
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Book Synopsis Data Driven Mathematical Modeling in Agriculture by : Sabyasachi Pramanik
Download or read book Data Driven Mathematical Modeling in Agriculture written by Sabyasachi Pramanik and published by CRC Press. This book was released on 2024-08-23 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities by : Pramanik, Sabyasachi
Download or read book Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities written by Pramanik, Sabyasachi and published by IGI Global. This book was released on 2023-02-17 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Mathematical Modeling in Agriculture by : Sabyasachi Pramanik
Download or read book Mathematical Modeling in Agriculture written by Sabyasachi Pramanik and published by John Wiley & Sons. This book was released on 2024-11-20 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Data-Driven Mathematical and Statistical Models of Online Social Networks by : Shudong Li
Download or read book Data-Driven Mathematical and Statistical Models of Online Social Networks written by Shudong Li and published by Frontiers Media SA. This book was released on 2022-03-07 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Mathematical Modeling for System Analysis in Agricultural Research by : Karel D. Vohnout
Download or read book Mathematical Modeling for System Analysis in Agricultural Research written by Karel D. Vohnout and published by Elsevier Science Limited. This book was released on 2003 with total page 437 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.
Book Synopsis AI-Driven Marketing Research and Data Analytics by : Masengu, Reason
Download or read book AI-Driven Marketing Research and Data Analytics written by Masengu, Reason and published by IGI Global. This book was released on 2024-04-22 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: The surge in technological advancements, coupled with the exponential growth of data, has left marketers grappling with the need for a paradigm shift. The once-established methods of consumer engagement are now overshadowed by the complexities of the digital age, demanding a profound understanding of artificial intelligence (AI) and data analytics. The gap between academic knowledge and practical applications in the field of marketing has widened, leaving industry professionals, educators, and students seeking a comprehensive resource to navigate the intricacies of this transformative era. AI-Driven Marketing Research and Data Analytics is a groundbreaking book that serves as a beacon for marketers, educators, and industry leaders alike. With a keen focus on the symbiotic relationship between AI, data analytics, and marketing research, this book bridges the gap between theory and practice. It not only explores the historical evolution of marketing but also provides an innovative examination of how AI and data analytics are reshaping the landscape. Through real-time case studies, ethical considerations, and in-depth insights, the book offers a holistic solution to the challenges faced by marketing professionals in the digital age.
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.
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.
Book Synopsis Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture by : Khang, Alex
Download or read book Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture written by Khang, Alex and published by IGI Global. This book was released on 2023-08-02 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: The agriculture industry is facing significant challenges in meeting the increasing demand for food while also ensuring sustainable development. Traditional agricultural methods are not equipped to meet the demands of the modern world. To overcome these challenges, Advanced Technologies and AI-Equipped IoT Applications in High-Tech Agriculture provides an in-depth analysis of the opportunities and challenges for AI-powered management tools and IoT-equipped techniques for the high-tech agricultural ecosystem. The Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture explores advanced methodologies, models, techniques, technologies, and applications along with the concepts of real-time supporting systems to help agricultural producers adjust plans or schedules for taking care of their farms. Additionally, it discusses the role of IoT technologies and AI applications in agricultural ecosystems and their potential to improve product quality and market competitiveness. The book includes discussions on the application of blockchain, biotechnology, drones, robotics, data analytics, and visualization in high-tech agriculture. It is an essential reference for anyone interested in the future of high-tech agriculture, including agricultural analysts, investment analysts, scholars, researchers, academics, professionals, engineers, and students.
Book Synopsis Convergence of Cloud Computing, AI, and Agricultural Science by : Sharma, Avinash Kumar
Download or read book Convergence of Cloud Computing, AI, and Agricultural Science written by Sharma, Avinash Kumar and published by IGI Global. This book was released on 2023-08-18 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Convergence of Cloud Computing, AI, and Agricultural Science explores the transformative potential of integrating cutting-edge technologies into the field of agriculture. With the rapid advancements in cloud computing, Artificial Intelligence (AI), and the Internet of Things (IoT), this research presents a comprehensive framework for monitoring agriculture farms remotely using a smart cloud-based system. The book delves into the application of AI-based machine learning models, such as the Support Vector Machine (SVM), to accurately classify and process the collected data. This advanced research reference book also explores how digital information can provide farmers with information about international markets, enabling them to make informed decisions regarding their crops. With its academic tone and in-depth exploration of cloud computing in smart agriculture, this book serves as an essential resource for researchers, academics, and professionals in the fields of agriculture, computer science, and environmental science. By examining the convergence of cloud computing, AI, and agricultural science, it provides a roadmap for harnessing technology to revolutionize farming practices and ensure sustainable agri-food systems in the digital era.
Book Synopsis Inclusivity and Accessibility in Digital Health by : Anshari, Muhammad
Download or read book Inclusivity and Accessibility in Digital Health written by Anshari, Muhammad and published by IGI Global. This book was released on 2024-04-15 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The persistent challenge of inequitable access to quality services plagues diverse age groups, creating a glaring gap in our pursuit of inclusive well-being. Despite the revolutionary strides in digital health and artificial intelligence (AI), the promise of universal accessibility remains unfulfilled. The disparities demand a comprehensive understanding of obstacles hindering inclusivity, setting the stage for a transformative solution. Inclusivity and Accessibility in Digital Health is a groundbreaking exploration that is a beacon of change in the healthcare narrative. This book transcends conventional boundaries, offering innovative frameworks, case studies, and empirical research. It delves into the transformative potential of AI and digital health, presenting actionable insights to tailor healthcare services, manage diseases, and elevate overall well-being. Aligned with the United Nations Sustainable Development Goals, this book inspires researchers, healthcare professionals, policymakers, and tech enthusiasts to harness the power of technology for an inclusive healthcare revolution.
Book Synopsis Balancing Automation and Human Interaction in Modern Marketing by : Nair, Arjun J.
Download or read book Balancing Automation and Human Interaction in Modern Marketing written by Nair, Arjun J. and published by IGI Global. This book was released on 2024-04-05 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: In modern marketing, a pivotal challenge has surfaced - finding the delicate balance between automation and human interaction. This challenge stems from the rapid advancement of artificial intelligence (AI) technologies, which, while promising unparalleled efficiency and innovation, also lack the personal touch inherent in traditional marketing. As AI gains prominence, marketers grapple with integrating automated processes while preserving the authenticity and emotional resonance that human engagement brings. Balancing Automation and Human Interaction in Modern Marketing positions itself as a guiding force in achieving balance amid the changing marketing landscape. Within the pages of this book lies a comprehensive exploration of contemporary marketing challenges centered on striking the right balance between automation and human interaction. The quest for optimal equilibrium threads through topics such as elevating customer experiences, scalable personalization through AI, emotional intelligence in marketing, and the critical role of human-centered design. By addressing these challenges head-on, the book provides practical advice for implementing AI in marketing but positions ethics at the forefront. It advocates for responsible AI-driven marketing, fostering trust, and ensuring that the human touch remains a cornerstone of brand-consumer relationships.
Book Synopsis Methodologies, Frameworks, and Applications of Machine Learning by : Srivastava, Pramod Kumar
Download or read book Methodologies, Frameworks, and Applications of Machine Learning written by Srivastava, Pramod Kumar and published by IGI Global. This book was released on 2024-03-22 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology is constantly evolving, and machine learning is positioned to become a pivotal tool with the power to transform industries and revolutionize everyday life. This book underscores the urgency of leveraging the latest machine learning methodologies and theoretical advancements, all while harnessing a wealth of realistic data and affordable computational resources. Machine learning is no longer confined to theoretical domains; it is now a vital component in healthcare, manufacturing, education, finance, law enforcement, and marketing, ushering in an era of data-driven decision-making. Academic scholars seeking to unlock the potential of machine learning in the context of Industry 5.0 and advanced IoT applications will find that the groundbreaking book, Methodologies, Frameworks, and Applications of Machine Learning, introduces an unmissable opportunity to delve into the forefront of modern research and application. This book offers a wealth of knowledge and practical insights across a wide array of topics, ranging from conceptual frameworks and methodological approaches to the application of probability theory, statistical techniques, and machine learning in domains as diverse as e-government, healthcare, cyber-physical systems, and sustainable development, this comprehensive guide equips you with the tools to navigate the complexities of Industry 5.0 and the Internet of Things (IoT).
Download or read book Agriculture 5.0 written by Latief Ahmad and published by CRC Press. This book was released on 2021-03-24 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological solutions that cut down on risks, enhance sustainability, and deliver predictive decisions to the grower, in order to make agriculture more productive. An elaborative approach has been used to highlight the applicability and adoption of key technologies and techniques such WSN, IoT, AI and ML in agronomic activities ranging from collection of information, analysing and drawing meaningful insights from the information which is more accurate, timely and reliable.It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership. This book clarifies hoe the birth of smart and intelligent agriculture is being nurtured and driven by the deployment of tiny sensors or AI/ML enabled UAV’s or low powered Internet of Things setups for the sensing, monitoring, collection, processing and storing of the information over the cloud platforms. This book is ideal for researchers, academics, post-graduate students and practitioners of agricultural universities, who want to embrace new agricultural technologies for Determination of site-specific crop requirements, future farming strategies related to controlling of chemical sprays, yield, price assessments with the help of AI/ML driven intelligent decision support systems and use of agri-robots for sowing and harvesting. The book will be covering and exploring the applications and some case studies of each technology, that have heavily made impact as grand successes. The main aim of the book is to give the readers immense insights into the impact and scope of WSN, IoT, AI and ML in the growth of intelligent digital farming and Agriculture revolution 5.0.The book also focuses on feasibility of precision farming and the problems faced during adoption of precision farming techniques, its potential in India and various policy measures taken all over the world. The reader can find a description of different decision support tools like crop simulation models, their types, and application in PA. Features: Detailed description of the latest tools and technologies available for the Agriculture 5.0. Elaborative information for different type of hardware, platforms and machine learning techniques for use in smart farming. Elucidates various types of predictive modeling techniques available for intelligent and accurate agricultural decision making from real time collected information for site specific precision farming. Information about different type of regulations and policies made by all over the world for the motivation farmers and innovators to invest and adopt the AI and ML enabled tools and farming systems for sustainable production.
Book Synopsis Exploring Ethical Dimensions of Environmental Sustainability and Use of AI by : Kannan, Hemachandran
Download or read book Exploring Ethical Dimensions of Environmental Sustainability and Use of AI written by Kannan, Hemachandran and published by IGI Global. This book was released on 2023-12-07 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring Ethical Dimensions of Environmental Sustainability and Use of AI is a comprehensive and insightful book that delves into the ethical implications and challenges that emerge at the intersection of environmental sustainability and the utilization of artificial intelligence (AI). With a focus on key ethical dimensions such as transparency, equity, privacy, autonomy, unintended consequences, and trade-offs, this book aims to provide a thorough understanding of the responsible deployment and development of AI in the realm of environmental sustainability. By addressing the ethical aspects and challenges involved, this book contributes to the development of ethical guidelines and frameworks that align AI technologies with the vision of a sustainable and equitable future. Researchers will find immense value in this book as it offers a holistic exploration of the ethical implications, filling a critical gap in the existing literature. Policymakers can gain valuable insights to inform the creation of ethical guidelines and regulations governing AI use in sustainable initiatives. Practitioners, including professionals working in environmental organizations or technology companies, will acquire practical knowledge to guide their decision-making and implementation of AI-driven solutions.
Book Synopsis Advances in data-driven approaches and modeling of complex systems by : Mohd Hafiz Mohd
Download or read book Advances in data-driven approaches and modeling of complex systems written by Mohd Hafiz Mohd and published by Frontiers Media SA. This book was released on 2023-06-27 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt:
