Data Driven Farming
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Data Driven Farming
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Author : Syed Nisar Hussain Bukhari
language : en
Publisher: CRC Press
Release Date : 2024-06-13
Data Driven Farming written by Syed Nisar Hussain Bukhari and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-13 with Computers categories.
In the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency. AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more. Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies. Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields. It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability. Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies. It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape. Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.
Smart Farms
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Author : Professor Claus Grøn Sørensen
language : en
Publisher: Burleigh Dodds Science Publishing
Release Date : 2024-04-23
Smart Farms written by Professor Claus Grøn Sørensen and has been published by Burleigh Dodds Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-23 with Technology & Engineering categories.
Provides a detailed overview of the recent trends in farm information management systems, including their evolution and role in improving farmer decision making Considers the range of data mining techniques used in decision support systems, such as artificial neural networks and support vector machines Includes a selection of case studies which explore the use of decision support systems in optimising farm management and productivity
Precision Agriculture
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Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2025-06-09
Precision Agriculture written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Technology & Engineering categories.
Unlock the potential of modern farming with "Precision Agriculture," a groundbreaking exploration of how cutting-edge technology is transforming the agricultural landscape. Dive into a comprehensive journey that peels back the layers of the digital revolution in farming practices, and discover how data drives decisions that enhance productivity, sustainability, and profitability. Start by tracing the evolution of agriculture from traditional methods to a high-tech, data-driven enterprise. Delve into the myriad types of data harnessed in today's precision agriculture—from soil health and weather patterns to the real-time monitoring enabled by sensor technology. Explore how the Internet of Things (IoT) connects farms to the cloud, facilitating seamless, efficient operations. Geospatial technology and remote sensing bring a bird's-eye view to fields, revolutionizing crop management through advanced GIS mapping and drone surveillance. Learn how machine learning and artificial intelligence are driving innovations in predictive analytics, pest and disease detection, and irrigation management. The chapters on soil health, water management, and yield optimization provide insightful strategies for maximizing farm efficiency. "Precision Agriculture" doesn't stop at crops. It extends its focus to livestock and dairy innovations through sensors and data analysis, helping improve feed efficiency and animal health. Real-world case studies from diverse farming operations worldwide illustrate the success and economic benefits of these technologies, proving the tangible ROI for small and medium enterprises. As you navigate through the challenges of data privacy, security, and the educational curve, gain insight into how precision agriculture supports sustainability. Explore its role in reducing the carbon footprint and promoting biodiversity and soil conservation. Finally, get a glimpse of the future and the emerging innovations poised to redefine farming once again. This essential guide not only empowers farmers and enthusiasts alike but calls to action all stakeholders to embrace a data-driven and sustainable agricultural future. Rediscover farming through the lens of technology, and transform your understanding of agriculture for the modern era.
Agriculture 4 0
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Author : Sheetanshu Gupta
language : en
Publisher: CRC Press
Release Date : 2024-12-06
Agriculture 4 0 written by Sheetanshu Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Technology & Engineering categories.
With the convergence of the Internet of Things (IoT) and Artificial Intelligence (AI), the traditional methods of farming are undergoing transformation. By harnessing the power of data-driven insights and automation, farmers can now make informed decisions in real time, optimize resource utilization, and mitigate risks associated with crop management and livestock welfare. This book serves as a guide to the integration of IoT and AI in agriculture and discusses the methodologies, applications, and challenges in this rapidly evolving field. It details various aspects of smart farming—from crop monitoring and precision agriculture to livestock management and food supply chain transparency—and provides insight into the potential of IoT and AI to revolutionize agricultural practices and address the global challenges of food security, environmental sustainability, and economic development. Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan)
Precision Agriculture Modelling
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Author : Davide Cammarano
language : en
Publisher: Springer Nature
Release Date : 2023-01-03
Precision Agriculture Modelling written by Davide Cammarano and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-03 with Technology & Engineering categories.
This book describes how models are used to monitor crops and soils in precision agriculture, and how they are used to support farmers’ decisions. The introductory section starts with an overview of precision agriculture from the early days of yield monitoring in the 1980s to the present, with a focus on the role of models. The section continues with descriptions of the different kinds of models and the opportunities for their application in precision agriculture. The section concludes with a chapter on socio-economic drivers and obstacles to the adoption of precision agriculture technologies. The middle section of the book explores the state-of-the-art in modeling for precision agriculture. Individual chapters focus on the major processes in precision agriculture: water use, nitrogen and other amendments, as well as weeds, pests and diseases. The final section contains a series of short chapters that each describe a commercial, model-based service that is currently available to farmers. The book aims to provide useful information to graduate-level professionals that want to broaden their knowledge of precision agriculture; to scientists who want to learn about using academic knowledge in practical farming; and to farmers, farm consultants and extension workers who want to increase their understanding of the science behind some of the commercial software available to the farming community.
Blockchain And Digital Twin Applications In Smart Agriculture
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Author : Amit Kumar Tyagi
language : en
Publisher: CRC Press
Release Date : 2025-04-17
Blockchain And Digital Twin Applications In Smart Agriculture written by Amit Kumar Tyagi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Technology & Engineering categories.
Blockchain and Digital Twin Applications in Smart Agriculture presents scenarios, solutions, applications to optimize crop management, improve resource allocation, and enhance sustainability in modern farming practices. It examines how blockchain and digital twin technology could enable farmers and stakeholders to create virtual, data-driven replicas of their agricultural operations while leveraging the security and transparency of blockchain technology. Highlights of the book include: An immutable blockchain ledger for storing and sharing agricultural data securely Decentralized data management to share data among such stakeholders as farmers, suppliers, distributors, and consumers Supply chain transparency to ensure product authenticity, reduce food fraud, and protect consumers Solutions to improve the allocation of such resources as water, fertilizer, and labor to reduce costs and improve productivity. The book helps researchers and academics develop solutions that can transition the agricultural industry into a more data-driven, sustainable, and transparent future. It explains how creating digital twins of agricultural operations and securing data through blockchain can enhance the ability to make informed decisions, reduce waste, and ensure that agriculture practices are more efficient and environmentally responsible. Featuring practical applications and case studies, the book provides a roadmap to farming that is smart, data-driven, and more.
Book Of Abstracts Of The 73rd Annual Meeting Of The European Federation Of Animal Science
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Author : Scientific Committee
language : en
Publisher: BRILL
Release Date : 2023-09-14
Book Of Abstracts Of The 73rd Annual Meeting Of The European Federation Of Animal Science written by Scientific Committee and has been published by BRILL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-14 with Technology & Engineering categories.
This Book of Abstracts is the main publication of the 73rd Annual Meeting of the European Federation of Animal Science (EAAP). It contains abstracts of the invited papers and contributed presentations of the sessions of EAAP's eleven Commissions: Animal Genetics, Animal Nutrition, Animal Management and Health, Animal Physiology, Cattle Production, Sheep and Goat Production, Pig Production, Horse Production and Livestock Farming Systems, Insects and Precision Livestock Farming.
Agriculture 5 0
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Author : Latief Ahmad
language : en
Publisher: CRC Press
Release Date : 2021-03-24
Agriculture 5 0 written by Latief Ahmad and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-24 with Science categories.
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.
Agricultural Informatics
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Author : Chetanaanand Kaul
language : en
Publisher: Educohack Press
Release Date : 2025-01-03
Agricultural Informatics written by Chetanaanand Kaul and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Science categories.
"Agricultural Informatics: Technology in Farming" delves into the science and engineering of agricultural information systems, emphasizing ICT innovation in agriculture, food, and the environment. We cover diverse areas like artificial intelligence, neural networks, decision support systems, expert systems, geographic information systems, and genetic algorithms. Agro informatics can be applied in various regions, from watersheds and arid areas to normal climates, using different management techniques. In agroforestry, we explore the integration of trees, crops, and sometimes animals. This book also examines case studies of traditional agroforestry and its role in addressing climate change. Designed for readers interested in agriculture and technology, our book offers a comprehensive overview of agro informatics, management strategies, and the technologies transforming agriculture.
Artificial Intelligence For Precision Agriculture
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Author : Pethuru Raj
language : en
Publisher: CRC Press
Release Date : 2024-12-19
Artificial Intelligence For Precision Agriculture written by Pethuru Raj and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Computers categories.
Precision agriculture is a next-generation farming management concept that optimizes resource use, productivity, quality, profitability, and sustainability by observing and responding to crop variability. Precision agriculture employs digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), 5G communication, cybersecurity, edge computing, cloud-native principles, and blockchain to ensure crops and soil receive exactly what they need for optimal health and productivity. Artificial Intelligence for Precision Agriculture explores the latest developments in precision agriculture, detailing how AI contributes to its goals. The book discusses how precision agriculture solutions use IoT devices, data storage, AI analytics, connectivity, and cloud infrastructures to analyze factors such as soil type, terrain, weather, plant growth, and yield data. It also examines edge technologies—sensors, microchips, beacons, RFID tags, robots, drones, and actuators—that collect field data and transmit it to cloud-based AI platforms for analysis. The book shows how AI-driven insights guide actions in the field, such as crop rotation, optimal planting and harvesting times, and soil management, and help farmers apply the right amounts of water, fertilizers, and pesticides, reducing waste and environmental impact. Applications covered in the book include: Drone-based high-resolution field mapping Tracking crops Crop yield assessments Data collection for irrigation, fertilization, and crop management Advanced weather monitoring Equipment management With chapters on AI model development, plant disease detection and remediation, sustainable farming techniques, data integration, AI-enabled data analytics, and knowledge visualization, this book is a comprehensive guide to technologies and applications in precision agriculture.