Smart Agriculture Automation Using Advanced Technologies

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Release : 2022-01-01
Genre : Computers
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Book Rating : 243/5 ( reviews)

Smart Agriculture Automation Using Advanced Technologies - 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 Smart Agriculture Automation Using Advanced Technologies write by Amitava Choudhury. This book was released on 2022-01-01. Smart Agriculture Automation Using Advanced Technologies available in PDF, EPUB and Kindle. This book addresses the challenges for developing and emerging trends in Internet-of-Things (IoT) for smart agriculture platforms. It also describes data analytics & machine learning, cloud architecture, automation & robotics and aims to overcome existing barriers for smart agriculture with commercial viability. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. The book explores a range of applications including intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems. This volume will be helpful for engineering and technology experts and researchers, as well as for policy-makers.

Artificial Intelligence and Smart Agriculture Technology

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Release : 2022-06-27
Genre : Computers
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Book Rating : 373/5 ( reviews)

Artificial Intelligence and Smart Agriculture Technology - 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 Artificial Intelligence and Smart Agriculture Technology write by Utku Kose. This book was released on 2022-06-27. Artificial Intelligence and Smart Agriculture Technology available in PDF, EPUB and Kindle. This book was created with the intention of informing an international audience about the latest technological aspects for developing smart agricultural applications. As artificial intelligence (AI) takes the main role in this, the majority of the chapters are associated with the role of AI and data analytics components for better agricultural applications. The first two chapters provide alternative, wide reviews of the use of AI, robotics, and the Internet of Things as effective solutions to agricultural problems. The third chapter looks at the use of blockchain technology in smart agricultural scenarios. In the fourth chapter, a future view is provided of an Internet of Things-oriented sustainable agriculture. Next, the fifth chapter provides a governmental evaluation of advanced farming technologies, and the sixth chapter discusses the role of big data in smart agricultural applications. The role of the blockchain is evaluated in terms of an industrial view under the seventh chapter, and the eighth chapter provides a discussion of data mining and data extraction, which is essential for better further analysis by smart tools. The ninth chapter evaluates the use of machine learning in food processing and preservation, which is a critical issue for dealing with issues concerns regarding insufficient foud sources. The tenth chapter also discusses sustainability, and the eleventh chapter focuses on the problem of plant disease prediction, which is among the critical agricultural issues. Similarly, the twelfth chapter considers the use of deep learning for classifying plant diseases. Finally, the book ends with a look at cyber threats to farming automation in the thirteenth chapter and a case study of India for a better, smart, and sustainable agriculture in the fourteenth chapter. This book presents the most critical research topics of today’s smart agricultural applications and provides a valuable view for both technological knowledge and ability that will be helpful to academicians, scientists, students who are the future of science, and industrial practitioners who collaborate with academia.

Advanced Technologies for Smart Agriculture

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Release : 2024-02-27
Genre : Technology & Engineering
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Book Rating : 446/5 ( reviews)

Advanced Technologies for Smart 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 Advanced Technologies for Smart Agriculture write by Kalaiselvi K.. This book was released on 2024-02-27. Advanced Technologies for Smart Agriculture available in PDF, EPUB and Kindle. This book brings new smart farming methodologies to the forefront, sparked by pervasive applications with automated farming technology. New indigenous expertise on smart agricultural technologies is presented along with conceptual prototypes showing how the Internet of Things, cloud computing, machine learning, deep learning, precision farming, crop management systems, etc., will be used in large-scale production in the future. The necessity of available welfare systems for farmers’ well-being is also discussed in the book. It draws the conclusion that there is a greater need and demand today for smart farming methodologies driven by technology than ever before.

Agricultural Internet of Things and Decision Support for Precision Smart Farming

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Release : 2020-01-09
Genre : Business & Economics
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Book Rating : 748/5 ( reviews)

Agricultural Internet of Things and Decision Support for Precision Smart Farming - 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 Agricultural Internet of Things and Decision Support for Precision Smart Farming write by Annamaria Castrignano. This book was released on 2020-01-09. Agricultural Internet of Things and Decision Support for Precision Smart Farming available in PDF, EPUB and Kindle. Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enabling technologies (KET) related to agronomic management, remote and proximal sensing, data mining, decision-making and automation can be efficiently integrated in one system. Chapters cover how KETs enable real-time monitoring of soil conditions, determine real-time, site-specific requirements of crop systems, help develop a decision support system (DSS) aimed at maximizing the efficient use of resources, and provide planning for agronomic inputs differentiated in time and space. This book is ideal for researchers, academics, post-graduate students and practitioners who want to embrace new agricultural technologies. Presents the science behind smart technologies for agricultural management Reveals the power of data science and how to extract meaningful insights from big data on what is most suitable based on individual time and space Proves how advanced technologies used in agriculture practices can become site-specific, locally adaptive, operationally feasible and economically affordable

Smart Farming Technologies for Sustainable Agricultural Development

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Release : 2018-08-10
Genre : Technology & Engineering
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Book Rating : 108/5 ( reviews)

Smart Farming Technologies for Sustainable Agricultural Development - 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 Smart Farming Technologies for Sustainable Agricultural Development write by Poonia, Ramesh C.. This book was released on 2018-08-10. Smart Farming Technologies for Sustainable Agricultural Development available in PDF, EPUB and Kindle. In order to meet food needs, farmers need to integrate the latest technologies enabling them to make more informed decisions. Smart Farming Technologies for Sustainable Agricultural Development provides innovative insights into the latest farming advancements in terms of informatics and communication. The content within this publication represents the work of topics such as sensor systems, wireless communication, and the integration of the Internet of Things in agriculture-related processes. It is a vital reference source for farmers, academicians, researchers, government agencies, technology developers, and graduate-level students seeking current research on smart farming technologies.