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Data Driven Farming


Data Driven Farming
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Data Driven Farming


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


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



Ai Edge And Iot Based Smart Agriculture


Ai Edge And Iot Based Smart Agriculture
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Author : Ajith Abraham
language : en
Publisher: Academic Press
Release Date : 2021-11-10

Ai Edge And Iot Based Smart Agriculture written by Ajith Abraham and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-10 with Technology & Engineering categories.


AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and IoT for predictability of crop, soil, and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management, and smart farming. The book provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture. Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the world provide foundational insights. The book provides practical application opportunities for the resolution of real-world problems, including contributions from the data mining, data analytics, Edge of Things, and cloud research communities working in the farming production sector. The book offers broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT-based agriculture, Edge of Things and cloud-based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture toward smart farming. - Integrates sustainable agriculture, Greenhouse IOT, precision agriculture, crops monitoring, crops controlling to prediction, livestock monitoring, and farm management - Presents data mining techniques for precision agriculture, including weather prediction, plant disease prediction, and decision support for crop and soil selection - Promotes the importance and uses in managing the agro ecosystem for food security - Emphasizes low energy usage options for low cost and environmental sustainability



Precision Agriculture


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.



Agricultural Internet Of Things And Decision Support For Precision Smart Farming


Agricultural Internet Of Things And Decision Support For Precision Smart Farming
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Author : Annamaria Castrignano
language : en
Publisher: Academic Press
Release Date : 2020-01-09

Agricultural Internet Of Things And Decision Support For Precision Smart Farming written by Annamaria Castrignano and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-09 with Business & Economics categories.


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



Artificial Intelligence And Iot Based Technologies For Sustainable Farming And Smart Agriculture


Artificial Intelligence And Iot Based Technologies For Sustainable Farming And Smart Agriculture
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Author : Pradeep Tomar
language : en
Publisher:
Release Date : 2019-12-27

Artificial Intelligence And Iot Based Technologies For Sustainable Farming And Smart Agriculture written by Pradeep Tomar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-27 with Artificial intelligence categories.


""This book explores the application and use of future internet ICTs in the smart agriculture sector by Identifying and describing technical, functional, and non-functional future technologies for smart farming and agriculture"--Provided by publisher"--



Agriculture 5 0


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.



Satellite Farming


Satellite Farming
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Author : Latief Ahmad
language : en
Publisher:
Release Date : 2018

Satellite Farming written by Latief Ahmad and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with TECHNOLOGY & ENGINEERING categories.


This book focuses on the recent advances in precision agriculture and satellite farming, detailing applications for sensing, data handling, modeling, and control. In addition, the book reviews its history - establishing the background on the various processes and applications - describes the current status, and offers insight into the future technology of satellite farming in India. Introducing processes and applications based on a global scale, the book reveals how precision agriculture can be used in large-scale agriculture, community agriculture, and diversified farming. It includes site-specific information from a variety of information sources for planning, planting, growing, and harvesting agricultural crops. It also presents a new concept based on the control system theory that can be used to formulate systematic methods for more effective precision crop production. Precision agriculture when properly integrated into the crop production process, can greatly improve overall production and sustainability. .



What S Cooking


What S Cooking
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Author : Kateryna Schroeder
language : en
Publisher: World Bank Publications
Release Date : 2021-04-20

What S Cooking written by Kateryna Schroeder and has been published by World Bank Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-20 with Business & Economics categories.


The digital agriculture revolution holds a promise to build an agriculture and food system that is efficient, environmentally sustainable, and equitable, one that can help deliver the Sustainable Development Goals. Unlike past technological revolutions in agriculture, which began on farms, the current revolution is being sparked at multiple points along the agrifood value chain. The change is driven by the ability to collect, use, and analyze massive amounts of machine-readable data about practically every aspect of the value chain, and by the emergence of digital platforms disrupting existing business models. All this allows for drastically reduced transaction costs and pervasive information asymmetries that plague the agrifood system. The success of the digital transformation, however, is not guaranteed as the risks it brings are numerous, including those related to data governance and inadequate competition within and between digital platforms.What’s Cooking: Digital Transformation of the Agrifood System investigates how digital technologies can accelerate the transformation of the agrifood system by increasing efficiency on the farm; improving farmers’ access to output, input, and financial markets; strengthening quality control and traceability; and improving the design and delivery of agriculture policies. It also identifies a key role for the public sector in maximizing the benefits of this process while minimizing its risks, through enabling an innovation ecosystem featuring open datasets, digital platforms, digital entrepreneurship, digital payment systems, and digital skills and encouraging equitable technology adoption.



Transforming Agriculture Through Artificial Intelligence For Sustainable Food Systems


Transforming Agriculture Through Artificial Intelligence For Sustainable Food Systems
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Author : Priyanka Lal
language : en
Publisher: Springer Nature
Release Date : 2025-05-14

Transforming Agriculture Through Artificial Intelligence For Sustainable Food Systems written by Priyanka Lal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-14 with Business & Economics categories.


This book aims to explore the groundbreaking intersection of artificial intelligence (AI) and agriculture, focusing on how innovative technologies can be harnessed to create sustainable and resilient food systems. As global challenges such as climate change, population growth, and resource scarcity intensify, this book seeks to provide a comprehensive guide to leveraging AI for optimizing agricultural practices, enhancing productivity, and promoting environmental stewardship. The final chapter summarizes key findings, highlighting the overarching themes, and providing insights into the future of AI in agriculture. Emphasis is placed on the importance of collaboration, ethical considerations, and responsible deployment of AI technologies to ensure a sustainable and equitable food future. This book is intended for a diverse audience, including researchers, academics, policymakers, agri-tech professionals, farmers, and students interested in the future of agriculture, sustainability, and emerging technologies.