AI in Agriculture: Harnessing Smart Farm Fields for the Future
AI in Agriculture: Harnessing Smart Farm Fields for the Future

Author: DIZZY DAVIDSON

Publisher: Pure Water Books

Published: 2024-07-31

Total Pages: 119

ISBN-13:

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Struggling to fully grasp the potential of AI in agriculture? Wondering how AI can revolutionize farming practices and boost productivity? Look no further! “AI in Agriculture: Harnessing Smart Farm Fields For the Future” is your ultimate guide to understanding and leveraging AI in the agricultural sector. This book demystifies complex AI concepts and demonstrates their practical applications in farming. Benefits of Reading This Book: Unlock the Power of AI: Learn how AI can transform crop and soil monitoring, pest and disease detection, and precision farming. Enhance Livestock Management: Discover AI systems that monitor livestock health and behavior, ensuring early illness detection and improved animal welfare. Optimize Farm Operations: Understand the role of AI in intelligent spraying, autonomous equipment, and yield prediction to increase efficiency and reduce costs. Stay Ahead with Weather Forecasting: Utilize AI-driven weather prediction tools to plan and mitigate adverse weather impacts. Ensure Quality Control: Explore AI systems for produce grading and sorting, ensuring consistency and reducing waste. This book is a comprehensive resource for anyone looking to delve into the world of AI in agriculture. It provides detailed insights, real-world examples, and practical tips to help you apply AI concepts effectively. Why This Book is Essential: In-Depth Coverage: Covers all key aspects of AI applications in agriculture, from crop monitoring to aerial imaging. Practical Insights: Offers actionable advice and case studies to illustrate successful AI implementations. Future-Oriented: Explores emerging trends and technologies, preparing you for the future of smart farming. Bullet Points AI-Powered Drones: Monitor crop health and soil conditions in real-time. Early Pest Detection: Use AI algorithms to detect pests and diseases early. Precision Farming: Optimize planting, watering, and fertilizing schedules. Livestock Monitoring: Ensure animal welfare with AI health monitoring systems. Autonomous Equipment: Increase efficiency with AI-driven tractors and harvesters. Yield Prediction: Make informed decisions with AI models predicting crop yields. Weather Forecasting: Plan activities with accurate AI-driven weather forecasts. Produce Grading: Ensure quality and reduce waste with AI grading systems. Aerial Imaging: Assess farm conditions with AI-powered drone surveys. Call to Action: Get your copy of “AI in Agriculture: Harnessing Smart Farm Fields For the Future” today and unlock the full potential of AI in your farming practices. Become knowledgeable about AI and transform your agricultural operations for a sustainable and productive future.

Artificial Intelligence and Smart Agriculture Technology
Artificial Intelligence and Smart Agriculture Technology

Author: Utku Kose

Publisher: CRC Press

Published: 2022-06-27

Total Pages: 291

ISBN-13: 1000604373

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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.

AI-Powered Agriculture
AI-Powered Agriculture

Author: Drew Ashton

Publisher: eBookIt.com

Published: 2024-08-06

Total Pages: 235

ISBN-13: 1456654543

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Agriculture Reimagined: Harnessing the Power of AI for a Greener Future In a world where technology touches every facet of life, AI-Powered Agriculture: The Next Green Revolution promises to be a game-changer. Step into a future where artificial intelligence and farming converge to not only secure our food supply but also make agriculture more efficient, sustainable, and resilient than ever before. Ever wondered how AI transforms traditional farming? This book unveils the mysteries of AI and machine learning, making technology accessible for agricultural enthusiasts and experts alike. By diving into the evolution of farming technologies and the pivotal role AI plays today, readers will find themselves embarking on a journey that redefines what's possible in the fields.Imagine farms equipped with real-time data collection systems, capable of analyzing soil health, monitoring crop growth, and detecting pests before they wreak havoc. Witness how AI-driven innovations are revolutionizing water management, ensuring every drop counts, and how autonomous machinery is setting new standards for efficiency and precision. The economic and environmental benefits are staggering. Discover how AI reduces costs, minimizes food wastage, promotes sustainability, and even helps in combating climate change. Through global case studies, learn about successful implementations across diverse climates and cultures, proving that AI in agriculture is not merely a concept for the wealthy but a powerful tool for small-scale and large-scale farmers alike.In addition to practical applications, this book delves into policies, ethical considerations, and the future of AI education in agriculture. With chapters dedicated to funding, investment, and industry partnerships, it provides a comprehensive guide for anyone looking to innovate in this vital sector. Embark on this eye-opening expedition and join the pioneers who are laying the groundwork for the future of food production. Your journey to understanding AI's revolutionary impact on agriculture starts here.

Future Farming: Advancing Agriculture with Artificial Intelligence
Future Farming: Advancing Agriculture with Artificial Intelligence

Author: Praveen Kumar Shukla

Publisher: Bentham Science Publishers

Published: 2023-10-23

Total Pages: 166

ISBN-13: 9815124730

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Artificial Intelligence is vital to the evolution of agriculture into a smart industry. The objective of this book is to inform readers about how artificial intelligence is improving agriculture by exploring its applications. The book addresses several aspects of artificial intelligence applications in smart agriculture including, pest control, disease identification, weed detection, and security. Chapters are contributed by experts in agriculture, computer science and biotechnology Key Themes: Advanced machine learning techniques for pest control and disease identification Automated recognition and classification of plant diseases, focusing on tomatoes and pearl millet Integration of artificial intelligence for solar-powered robots to identify weeds and damages in vegetables Development of field prevention systems to deter wild animals in farming areas Utilization of machine learning for weather forecasting to facilitate smart agriculture practices Intelligent crop planning and precision farming through AI applications Integration of artificial intelligence and drones to enhance efficiency and effectiveness in smart farming operations Other features of the book include a list of references and simple summaries in each chapter to distil the information for readers. The book is a primary reference material for courses on automation in agriculture. It can also serve as a handbook for anyone interested in advances in farming.

Artificial Intelligence and Smart Agriculture Applications
Artificial Intelligence and Smart Agriculture Applications

Author: Utku Kose

Publisher: CRC Press

Published: 2022-09-07

Total Pages: 380

ISBN-13: 1000644375

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An essential resource work for understanding how to design and develop smart applications for present and future problems of the field of agriculture.— Dr. Deepak Gupta, Maharaja Agrasen Institute of Technology, Delhi, India As a result of the advances in Artificial Intelligence (AI), many aspects of daily life have been transformed by smart digital technology. Advanced intelligent algorithms can provide powerful solutions to real-world problems. Smart applications have become commonplace. All areas of life are being changed by smart tools developed to deal with complex issues challenging both humanity and the earth. Artificial Intelligence and Smart Agriculture Applications presents the latest smart agriculture applications developed across the globe. It covers a broad array of solutions using data science and AI to attack problems facing agriculture worldwide. Features: Application of drones and sensors in advanced farming A cloud-computing model for implementing smart agriculture Conversational AI for farmer's advisory communications Intelligent fuzzy logic to predict global warming’s effect on agriculture Machine learning algorithms for mapping soil macronutrient elements variability A smart IoT framework for soil fertility enhancement AI applications in pest management A model using Python for predicting rainfall The book examines not only present solutions but also potential future outcomes. It looks at the role of AI-based algorithms and the almost infinite combinations of variables for agricultural applications. Researchers, public and private sector representatives, agriculture scientists, and students can use this book to develop sustainable and solutions for smart agriculture. This book’s findings are especially important as the planet is facing unprecedented environmental challenges from over-farming and climate change due to global warming.

Convergence of Cloud Computing, AI, and Agricultural Science
Convergence of Cloud Computing, AI, and Agricultural Science

Author: Sharma, Avinash Kumar

Publisher: IGI Global

Published: 2023-08-18

Total Pages: 401

ISBN-13:

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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.

Artificial Intelligence and Smart Agriculture
Artificial Intelligence and Smart Agriculture

Author: Kusum Pandey

Publisher: Springer

Published: 2024-04-17

Total Pages: 0

ISBN-13: 9789819703401

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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 required to understand these technological developments. This book explores the applications of various artificial intelligence techniques by identifying and describing technical, functional, and non-functional future technologies for smart farming and agriculture. The book also presents practical application opportunities for the resolution of real-world problems, including contributions from precision irrigation, greenhouse data, livestock monitoring, automation, IoT ecosystems for agriculture, cloud computing, mobile robots for precision agriculture, remote sensing applications, and data mining. In addition, this book provides summary information about different soilless techniques such as hydroponics, aeroponics, and aquaponics, among others. 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.

Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture
Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture

Author: Tomar, Pradeep

Publisher: IGI Global

Published: 2021-01-08

Total Pages: 400

ISBN-13: 1799817245

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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.

Digital Farming and Smart Agriculture for Sustainable Future
Digital Farming and Smart Agriculture for Sustainable Future

Author: Febin Daya J. L.

Publisher:

Published: 2025-02-20

Total Pages: 0

ISBN-13: 9781032765884

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This book presents the impact and scope of Internet of Things (IoT), Artificial Intelligence (AI), and Machine Lеarning (ML) in the growth of intelligent digital farming and smart agriculture. It offers insights into advanced analytics, prognostics capabilities, and the development of economic models for creating innovative software applications and tools necessary for developing IoT devices for precision agriculture. It explores the latest advancements in these fields and their applications, gaining valuable insights into the future of digital farming. The case studies and exploration of future implications make it an excellent guide for academicians and researchers of this field. - Discusses various aspects of AI-driven demand forecasting and management - Covers smart IoT framework for precision agriculture - Includes topics related to deep learning techniques combined with IoT for smart agriculture - Explores the scope of computer vision technologies aid in precise crop management - Highlights the potential of energy optimization and environmental sustainability in agricultural practices This reference book serves as a valuable resource for rеsеarchеrs and graduates in the fields of tеchnology-drivеn revolution in agriculture.

Data-Driven Farming
Data-Driven Farming

Author: Syed Nisar Hussain Bukhari

Publisher: CRC Press

Published: 2024-06-13

Total Pages: 301

ISBN-13: 1040037232

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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.