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Author: Yuliang Yun
Publisher: Springer Nature
ISBN: 9819764416
Category :
Languages : en
Pages : 181
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Book Description
Author: Yuliang Yun
Publisher: Springer Nature
ISBN: 9819764416
Category :
Languages : en
Pages : 181
Get Book Here
Book Description
Author: Yuliang Yun
Publisher: Springer
ISBN: 9789819764402
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
This book specifically focuses on state-of-the-art advanced sensing and robotic techniques in smart agriculture and comprehensively describes the new knowledge. Significant agricultural technology progress in advanced sensing and robotics technology has been made recently, which has transformed the conventional agriculture to smart and digital agriculture It provides readers take-away knowledge for seed quality detection, specialty crop harvest and sorting robotics, new sensing method for crop nutrient status, and broadband soil dielectric permittivity measurements. All these new technologies have been developed, tested, or practically applied. It is a useful reference for readers in the field of smart agriculture and agriculture robotics.
Author: Utku Kose
Publisher: CRC Press
ISBN: 1000604373
Category : Computers
Languages : en
Pages : 291
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Book Description
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.
Author: Annamaria Castrignano
Publisher: Academic Press
ISBN: 0128183748
Category : Business & Economics
Languages : en
Pages : 472
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Book Description
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
Author: Manoj Karkee
Publisher: Springer Nature
ISBN: 3030704009
Category : Agricultural engineering
Languages : en
Pages : 462
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Book Description
Over the past century, mechanization has been an important means for optimizing resource utilization, improving worker health and safety and reducing labor requirements in farming while increasing productivity and quality of 4F (Food, Fuel, Fiber, Feed). Recognizing this contribution, agricultural mechanization was considered as one of the top ten engineering achievements of 20th century by the National Academy of Engineering. Accordingly farming communities have adopted increasing level of automation and robotics to further improve the precision management of crops (including input resources), increase productivity and reduce farm labor beyond what has been possible with conventional mechanization technologies. It is more important than ever to continue to develop and adopt novel automation and robotic solutions into farming so that some of the most complex agricultural tasks, which require huge amount of seasonal labor such as fruit and vegetable harvesting, could be automated while meeting the rapidly increasing need for 4F. In addition, continual innovation in and adoption of agricultural automation and robotic technologies is essential to minimize the use of depleting resources including water, minerals and other chemicals so that sufficient amount of safe and healthy food can be produced for current generation while not compromising the potential for the future generation. This book aims at presenting the fundamental principles of various aspects of automation and robotics as they relate to production agriculture (the branch of agriculture dealing with farming operations from field preparation to seeding, to harvesting and field logistics). The building blocks of agricultural automation and robotics that are discussed in the book include sensing and machine vision, control, guidance, manipulation and end-effector technologies. The fundamentals and operating principles of these technologies are explained with examples from cutting-edge research and development currently going on around the word. This book brings together scientists, engineers, students and professionals working in these and related technologies to present their latest examples of agricultural automation and robotics research, innovation and development while explaining the fundamentals of the technology. The book, therefore, benefits those who wish to develop novel agricultural engineering solutions and/or to adopt them in the future. .
Author:
Publisher: BoD – Books on Demand
ISBN: 0850142792
Category : Technology & Engineering
Languages : en
Pages : 178
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Book Description
Precision agriculture has revolutionized the way crops are grown and managed by utilizing advanced technologies to optimize farm production, reduce waste, and improve environmental sustainability. Emerging technologies in precision agriculture, including edge computing, 5G communication, the Internet of Things, artificial intelligence, digital twins, blockchain, big data analytics, robotics, and augmented reality, are making significant contributions to the growth and development of this field. This book explores the latest advancements, achievements, and opportunities associated with these technologies in terms of improved efficiency, reduced labor costs, and enhanced safety, as well as the challenges involved in the implementation, such as high costs of adoption, regulations, and the need for skilled personnel. Each chapter presents research reports describing new methods and perspectives in precision agriculture applications based on innovative tools from basic and applied research. This book can serve both the academic community and farmers by demonstrating how modern technologies are advancing precision agriculture to the next level.
Author: Ron Legarski
Publisher: SolveForce
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 679
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Book Description
In the era of Industry 4.0, where digital transformation drives innovation and efficiency, the need for secure, scalable, and innovative telecommunications solutions has never been more critical. This book offers an in-depth exploration of the technologies and services that form the backbone of modern business connectivity. Developed in collaboration with SolveForce, a leader in telecommunications and IT services, this guide covers everything from high-speed internet and cloud services to Everything as a Service (XaaS) and the Internet of Everything (IoE). Discover how businesses—whether small, medium, or enterprise-level—can leverage cutting-edge technologies like AI, dark fiber, vSIM (Virtual SIM), Unified Communications as a Service (UCaaS), and SD-WAN to optimize operations, streamline communications, and enhance cybersecurity. The book also explores the real-world applications of these solutions through insightful case studies. While some case studies may be hypothetical, the technologies and strategies are grounded in reality, highlighting how SolveForce and their trusted partners are already deploying these solutions today to drive success across industries. As Industry 4.0 transforms manufacturing, supply chains, and business operations, this book serves as a valuable resource for business leaders, IT professionals, and decision-makers who need to stay ahead in this rapidly evolving landscape. Learn how cybersecurity, telecom expense management (TEM), and cloud migration can revolutionize your operations and ensure your business remains agile, competitive, and future-ready. Whether you’re looking to enhance your network infrastructure, improve voice and data integration, or navigate compliance with data protection regulations like GDPR and CCPA, this book provides the insights and strategies to help you make informed decisions. With SolveForce’s extensive portfolio of telecommunications solutions, your business can fully embrace the opportunities and innovations of the Industry 4.0 revolution.
Author: Prasad S. Thenkabail
Publisher: CRC Press
ISBN: 1351659111
Category : Technology & Engineering
Languages : en
Pages : 1637
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Book Description
Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume I, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation introduces the fundamentals of hyperspectral or imaging spectroscopy data, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis, covering both the strengths and limitations of these topics. Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. Volume III, Biophysical and Biochemical Characterization and Plant Species Studies demonstrates the methods that are developed and used to study terrestrial vegetation using hyperspectral data. This volume includes extensive discussions on hyperspectral data processing and how to implement data processing mechanisms for specific biophysical and biochemical applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessments. Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection.
Author: Mohamed Abdel-Basset
Publisher: CRC Press
ISBN: 1003861857
Category : Computers
Languages : en
Pages : 315
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Book Description
This book provides a broad overview of the areas of artificial intelligence (AI) that can be used for smart farming applications, through either successful engineering or ground-breaking research. Among them, the highlighted tactics are soil management, water management, crop management, livestock management, harvesting, and the integration of Internet of Things (IoT) in smart farming. Artificial Intelligence and Internet of Things in Smart Farming explores different types of smart framing systems for achieving sustainability goals in the real environment. The authors discuss the benefits of smart harvesting systems over traditional harvesting methods, including decreased labor requirements, increased crop yields, increased probabilities of successful harvests, enhanced visibility into crop health, and lower overall harvest and production costs. It explains and describes big data in terms of its potential five dimensions—volume, velocity, variety, veracity, and valuation—within the framework of smart farming. The authors also discuss the recent IoT technologies, such as fifth-generation networks, blockchain, and digital twining, to improve the sustainability and productivity of smart farming systems. The book identifies numerous issues that call for conceptual innovation and has the potential to progress machine learning (ML), resulting in significant impacts. As an illustration, the authors point out how smart farming offers an intriguing field for interpretable ML. The book then delves into the function of AI techniques, such as AI in accelerating the development of nano-enabled agriculture, thereby facilitating safe-by-design nanomaterials for various consumer products and medical applications. This book is for undergraduate students, graduate students, researchers, and AI engineers who pursue a strong understanding of the practical methods of machine learning in the agriculture domain. Practitioners and stakeholders would be able to follow this book to understand the potential of ML in their farming projects and agricultural solutions. Features: • Explores different types of smart framing systems for achieving sustainability goals in the real environment • Explores ML-based analytics such as generative adversarial networks (GAN), autoencoders, computational imaging, and quantum computing • Examines the development of intelligent machines to provide solutions to real-world problems, emphasizing smart farming applications, which are not modeled or are extremely difficult to model mathematically • Emphasizes methods for better managing crops, soils, water, and livestock, urging investors and businesspeople to occupy the existing vacant market area • Discusses AI-empowered Nanotechnology for smart farming
Author: Rahul S. Mor
Publisher: Emerald Group Publishing
ISBN: 1801174989
Category : Business & Economics
Languages : en
Pages : 232
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Book Description
Agri-Food 4.0: Innovations, Challenges and Strategies addresses new research on digital technologies in the Agri-Food industry, including smart packaging, smart warehousing, effective inventory control, blockchain technology, artificial intelligence, and other Industry 4.0 concepts.
