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Author: Kavita Pandey
Publisher: Bentham Science Publishers
ISBN: 981527435X
Category : Computers
Languages : en
Pages : 241
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Book Description
The Future of Agriculture: IoT, AI and Blockchain Technology for Sustainable Farming explores how cutting-edge technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain are transforming farming for a sustainable future. Addressing challenges such as climate change, resource scarcity, and food supply chain inefficiencies, the book highlights how these technologies can improve decision-making, enhance crop yields, and increase transparency in agriculture. With a blend of theory and real-world applications, it covers everything from AI-driven pesticide prediction and disease identification to using Blockchain for efficient food supply chain management. This comprehensive guide is essential for researchers, professionals, and anyone interested in the intersection of technology and sustainable farming. Key Features: - Introduction to Digital Twin technology for sustainable farming - Practical applications of AI and IoT in agriculture - Blockchain's role in food supply chain management - Frameworks for precision agriculture and access to government schemes - Insights on integrating AI, IoT, and Blockchain into solid waste management systems.
Author: Kavita Pandey
Publisher: Bentham Science Publishers
ISBN: 981527435X
Category : Computers
Languages : en
Pages : 241
Get Book Here
Book Description
The Future of Agriculture: IoT, AI and Blockchain Technology for Sustainable Farming explores how cutting-edge technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain are transforming farming for a sustainable future. Addressing challenges such as climate change, resource scarcity, and food supply chain inefficiencies, the book highlights how these technologies can improve decision-making, enhance crop yields, and increase transparency in agriculture. With a blend of theory and real-world applications, it covers everything from AI-driven pesticide prediction and disease identification to using Blockchain for efficient food supply chain management. This comprehensive guide is essential for researchers, professionals, and anyone interested in the intersection of technology and sustainable farming. Key Features: - Introduction to Digital Twin technology for sustainable farming - Practical applications of AI and IoT in agriculture - Blockchain's role in food supply chain management - Frameworks for precision agriculture and access to government schemes - Insights on integrating AI, IoT, and Blockchain into solid waste management systems.
Author: Tomar, Pradeep
Publisher: IGI Global
ISBN: 1799817245
Category : Technology & Engineering
Languages : en
Pages : 400
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Book Description
As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.
Author: Latief Ahmad
Publisher: CRC Press
ISBN: 1000364437
Category : Science
Languages : en
Pages : 220
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Book Description
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.
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: Mansoor Muallim
Publisher: M M Info Care
ISBN:
Category : Business & Economics
Languages : en
Pages : 14745
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Book Description
(Content updated) Agri-Tools Manufacturing 1. Market Overview: The Agri-Tools Manufacturing industry is a vital part of the agriculture sector, providing essential equipment and machinery to support farming operations. Growth is driven by the increasing demand for advanced and efficient farming tools to meet the rising global food production requirements. 2. Market Segmentation: The Agri-Tools Manufacturing market can be segmented into several key categories: a. Hand Tools: • Basic manual tools used for tasks like planting, weeding, and harvesting. b. Farm Machinery: • Larger equipment such as tractors, Plows, and combines used for field cultivation and crop management. c. Irrigation Equipment: • Tools and systems for efficient water management and irrigation. d. Harvesting Tools: • Machinery and hand tools for crop harvesting and post-harvest processing. e. Precision Agriculture Tools: • High-tech equipment including GPS-guided machinery and drones for precision farming. f. Animal Husbandry Equipment: • Tools for livestock management and animal husbandry practices. 3. Regional Analysis: The adoption of Agri-Tools varies across regions: a. North America: • A mature market with a high demand for advanced machinery, particularly in the United States and Canada. b. Europe: • Growing interest in precision agriculture tools and sustainable farming practices. c. Asia-Pacific: • Rapidly expanding market, driven by the mechanization of farming in countries like China and India. d. Latin America: • Increasing adoption of farm machinery due to the region's large agricultural sector. e. Middle East & Africa: • Emerging market with potential for growth in agri-tools manufacturing. 4. Market Drivers: a. Increased Farming Efficiency: • The need for tools and machinery that can increase farm productivity and reduce labour costs. b. Population Growth: • The growing global population requires more efficient farming practices to meet food demands. c. Precision Agriculture: • The adoption of technology for data-driven decision-making in farming. d. Sustainable Agriculture: • Emphasis on tools that support sustainable and eco-friendly farming practices. 5. Market Challenges: a. High Initial Costs: • The expense of purchasing machinery and equipment can be a barrier for small-scale farmers. b. Technological Adoption: • Some farmers may be resistant to adopting new technology and machinery. c. Maintenance and Repairs: • Ensuring proper maintenance and timely repairs can be challenging. 6. Opportunities: a. Innovation: • Developing advanced and efficient tools using IoT, AI, and automation. b. Customization: • Offering tools tailored to specific crops and regional needs. c. Export Markets: • Exploring export opportunities to regions with growing agricultural sectors. 7. Future Outlook: The future of Agri-Tools Manufacturing looks promising, with continued growth expected as technology continues to advance and the need for efficient and sustainable agriculture practices increases. Innovations in machinery and equipment, along with the adoption of precision agriculture tools, will play a significant role in transforming the industry and addressing the challenges faced by the agriculture sector. Conclusion: Agri-Tools Manufacturing is a cornerstone of modern agriculture, providing farmers with the equipment and machinery they need to feed a growing global population. As the industry continues to evolve, there will be opportunities for innovation and collaboration to develop tools that are not only efficient but also environmentally friendly. Agri-tools manufacturers play a critical role in supporting sustainable and productive farming practices, making them essential contributors to the global food supply chain.
Author: Barrett Williams
Publisher: Barrett Williams
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 122
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Book Description
**Precision Farming Unleashed Revolutionize Your Agricultural Practices** Discover the groundbreaking world of precision farming with "Precision Farming Unleashed", your ultimate guide to embracing the future of agriculture. This comprehensive eBook offers you a deep dive into the technologies, techniques, and tools that are transforming the farming landscape, making it more efficient, sustainable, and profitable. **Innovative Techniques for Modern Agriculture** Unlock the secrets of precision farming with an introduction to advanced techniques that blend traditional practices with cutting-edge technology. Learn about soil management innovations, including soil sampling, health monitoring, and precision tillage that can dramatically boost your crop yields. **Smart Irrigation and Advanced Crop Monitoring** Explore smart irrigation systems and sensor-based water management that can save invaluable resources while ensuring your crops receive the optimal amount of water. Delve into advanced crop monitoring using satellite imagery and drone technology, enabling real-time data collection to maintain crop health. **Precision Planting and Pest Management** Maximize your planting efficiency with GPS-guided systems and variable rate technology, ensuring each seed is perfectly placed for maximum growth. Additionally, leverage remote sensing for pest detection and integrated pest management tools to protect your crops efficiently and sustainably. **Economic and Environmental Benefits** Gain insights into the economic advantages of precision farming, with detailed cost-benefit analyses and strategies to increase profit margins. Learn how these practices not only enhance productivity but also contribute to environmental sustainability by reducing carbon footprints and promoting biodiversity. **Harness Data and Farm Smarter** Discover the power of farm management software and data analytics to make informed decisions. Integrate this technology into your operations to streamline processes and improve overall farm management. **Future Trends and Small Farm Applications** Stay ahead with a look at emerging trends and future technologies in precision farming. Whether you have a large agricultural operation or a small farm, this eBook offers scalable solutions and case studies to help you implement precision techniques effectively. **Community, Education, and Policy Support** Understand the importance of community and cooperative models in precision farming. Get connected with programs, certifications, and global initiatives that support the adoption of precision farming techniques. "Precision Farming Unleashed" empowers you to transform your agricultural practices with knowledge that bridges the gap between tradition and innovation. Prepare yourself for the future of farming and take the first step towards smarter, more sustainable agriculture today!
Author: Khan, Mohammad Ayoub
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 338
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Book Description
Infrastructure Possibilities and Human-Centered Approaches With Industry 5.0 is a research book that serves as a comprehensive exploration of the potential impact of Industry 5.0 and the research opportunities presented by it, a new era of industrial revolution that integrates advanced technologies with human expertise and creativity. This book delves into the transformative effects of Industry 5.0 on society, with a particular focus on human-centric approaches and the key areas of agriculture, transportation, healthcare, and more. The book examines the revolutionary impact of Industry 5.0 in various domains. It explores the application of AI and machine learning in revolutionizing agriculture, improving livestock management, optimizing fertilizer usage, and detecting agricultural diseases. Additionally, it delves into the integration of advanced technologies in healthcare, including wearable devices, sensors, and robotics, to provide personalized and efficient healthcare services. Furthermore, the book explores the implications of Industry 5.0 on transportation, smart grid systems, and education. Throughout the discussion, the book addresses the ethical and social considerations associated with Industry 5.0, such as privacy, data protection, and social inequality. Written for research scholars, graduate engineering students, and postgraduate students in the fields of computer science, agriculture, and health engineering, this book serves as a valuable resource for understanding the transformative potential of Industry 5.0.
Author: Karthick, G.S.
Publisher: IGI Global
ISBN: 1668478811
Category : Technology & Engineering
Languages : en
Pages : 318
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Book Description
The cultivation of crops plays a very important role in agriculture. However, proper maintenance and management are required. Lack of such management would lead to crop loss or reduced crop yields. Hence, the ability to detect and identify diseases on infected crops is a problem of increasing concern. Real-time disease detection systems do not exist in the current agricultural landscape. It requires tremendous amounts of work, expertise in plant diseases, and excessive processing time. Using precision agriculture techniques, combined with AI, a great deal of work is reduced. Contemporary Developments in Agricultural Cyber-Physical Systems provides a forum for researchers and practitioners to exchange ideas and achieve progress in cyber-physical systems by highlighting agricultural applications, advances, and research challenges. The book features chapters on all aspects pertaining to this multidisciplinary paradigm, in particular in its application to sustainable agriculture developments. Covering topics such as automation, monitoring systems, and smart agriculture, this premier reference source is an excellent resource for scientists, healthcare professionals, data analysts, computer scientists, students and educators of higher education, researchers, and academicians.
Author: Roshani Raut
Publisher: John Wiley & Sons
ISBN: 1119793122
Category : Computers
Languages : en
Pages : 279
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Book Description
Health Economics and Financing Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment. The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier. Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare. Audience The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.
