Smart Agricultural Technology

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• Author : Utku Kose,V. B. Surya Prasath,M. Rubaiyat Hossain Mondal,Prajoy Podder,Subrato Bharati
• Publisher : CRC Press
• Release Date : 2022-06-27
• Total pages : 318
• ISBN : 9781000604375
• File Size : 51,6 Mb
• Total Download : 158
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Download Artificial Intelligence and Smart Agriculture Technology in PDF, Epub, and Kindle

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,Gabriele Buttafuoco,Raj Khosla,Abdul Mouazen,Dimitrios Moshou,Olivier Naud
• Publisher : Academic Press
• Release Date : 2020-01-09
• Total pages : 470
• ISBN : 9780128183748
• File Size : 18,6 Mb
• Total Download : 380
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Download Agricultural Internet of Things and Decision Support for Precision Smart Farming in PDF, Epub, and Kindle

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 : Poonia, Ramesh C.,Gao, Xiao-Zhi,Raja, Linesh,Sharma, Sugam,Vyas, Sonali
• Publisher : IGI Global
• Release Date : 2018-08-10
• Total pages : 308
• ISBN : 9781522559108
• File Size : 32,7 Mb
• Total Download : 890
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Download Smart Farming Technologies for Sustainable Agricultural Development in PDF, Epub, and Kindle

In order to meet food needs, farmers need to integrate the latest technologies enabling them to make more informed decisions. Smart Farming Technologies for Sustainable Agricultural Development provides innovative insights into the latest farming advancements in terms of informatics and communication. The content within this publication represents the work of topics such as sensor systems, wireless communication, and the integration of the Internet of Things in agriculture-related processes. It is a vital reference source for farmers, academicians, researchers, government agencies, technology developers, and graduate-level students seeking current research on smart farming technologies.

• Author : Søren Marcus Pedersen,Kim Martin Lind
• Publisher : Springer
• Release Date : 2017-11-15
• Total pages : 276
• ISBN : 9783319687155
• File Size : 40,6 Mb
• Total Download : 382
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Download Precision Agriculture: Technology and Economic Perspectives in PDF, Epub, and Kindle

This book presents cases from different countries with a main focus on the perspectives of using precision farming in Europe. Divided into 12 chapters it addresses some of the most recent developments and aspects of precision farming. The intention of this book is to provide an overview of some of the most promising technologies with precision agriculture from an economic point of view. Each chapter has been put together so that it can be read individually should the reader wish to focus on one particular topic. Precision Farming as a farm technology benefits from large-scale advantages due to relatively high investment costs and is primarily adopted on farms with medium to large field areas.

• Author : Ajith Abraham,Sujata Dash,Joel J.P.C. Rodrigues,Biswaranjan Acharya,Subhendu Kumar Pani
• Publisher : Academic Press
• Release Date : 2021-11-10
• Total pages : 574
• ISBN : 9780128236956
• File Size : 12,9 Mb
• Total Download : 708
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Download AI, Edge and IoT-based Smart Agriculture in PDF, Epub, and Kindle

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

• Author : Saravanan Krishnan,J Bruce Ralphin Rose,N R Rajalakshmi,Narayanan Prasanth
• Publisher : CRC Press
• Release Date : 2022-02-14
• Total pages : 346
• ISBN : 9781000535228
• File Size : 54,8 Mb
• Total Download : 321
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Download Cloud IoT Systems for Smart Agricultural Engineering in PDF, Epub, and Kindle

Agriculture plays a vital role in a country’s growth. Modern-day technologies drive every domain toward smart systems. The use of traditional agricultural procedures to satisfy modern-day requirements is a challenging task. Cloud IoT Systems for Smart Agricultural Engineering provides substantial coverage of various challenges of the agriculture domain through modern technologies such as the Internet of Things (IoT), cloud computing, and many more. This book offers various state-of-the-art procedures to be deployed in a wide range of agricultural activities. The concepts are discussed with the necessary implementations and clear examples. Necessary illustrations are depicted in the chapters to ensure the effective delivery of the proposed concepts. It presents the rapid advancement of the technologies in the existing agricultural model by applying the cloud IoT techniques. A wide variety of novel architectural solutions are discussed in various chapters of this book. This book provides comprehensive coverage of the most essential topics, including: New approaches on urban and vertical farming Smart crop management for Indian farmers Smart livestock management Precision agriculture using geographical information systems Machine learning techniques combined with IoT for smart agriculture Effective use of drones in smart agriculture This book provides solutions for the diverse domain of problems in agricultural engineering. It can be used at the basic and intermediary levels for agricultural science and engineering graduate students, researchers, and practitioners.

• Author : Tomar, Pradeep,Kaur, Gurjit
• Publisher : IGI Global
• Release Date : 2021-01-08
• Total pages : 400
• ISBN : 9781799817246
• File Size : 42,8 Mb
• Total Download : 933
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Download Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture in PDF, Epub, and Kindle

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 : Aqeel-ur- Rehman
• Publisher : Unknown
• Release Date : 2015-02-12
• Total pages : 229
• ISBN : 1632780232
• File Size : 31,6 Mb
• Total Download : 783
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Download Smart Agriculture an Approach Towards Better Agriculture Management in PDF, Epub, and Kindle

This edited book, Smart Agriculture: An Approach towards Better Agriculture Management aims to present utilization of advanced technologies towards the better management of Agriculture requirements. The book is triggered by ubiquitous applications of sensors and actuators, and the real-world challenges and complexities to the Wireless Sensors and Actuator Networks¿ (WSAN) application. Agriculture is a very vast domain. This book is providing coverage of some of the aspects of the agriculture like Introduction to the concept of Smart Agriculture, Automatic Irrigation Management, Water Management, use of advanced technology like GIS towards Agriculture and Agricultural Ontologies to provide semantic understanding for computing devices.

• Author : Adil Denizli,Tuan Anh Nguyen,Susai Rajendran,Ghulam Yasin,Ashok Kumar
• Publisher : Elsevier
• Release Date : 2021-11-26
• Total pages : 824
• ISBN : 9780323852937
• File Size : 49,6 Mb
• Total Download : 665
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Download Nanosensors for Smart Agriculture in PDF, Epub, and Kindle

Nanosensors for Smart Agriculture covers new breakthroughs in smart agriculture, highlighting new technologies, such as the internet of things, big data and artificial intelligence. In addition, the book provides the many advantages of nanosensors over their micro counterparts, such as lower power consumption, higher sensitivity, lower concentration of analytes, and smaller interaction distances between the object and sensor. Sections provide information on fundamental design concepts and emerging applications of nanosensors in smart agriculture. The book highlights how, when cultivating soil, nanosensors and their wireless networks can be used for soil quality monitoring (moisture/herbicides/organic compound/trace metals monitoring in soil, etc. Other applications cover how smart nanosensors can be used for virus detection and hygiene/pathogen controls in livestocks, their use as active transport tracking devices for smart tracking and tracing, and other various applications, such as (i) nanochips for identity (radio frequency identification), (ii) food inspection, (iii) intelligent food packaging, and (iv) smart storage. This is an important reference source for materials scientists and agricultural engineers who are looking to understand more about how nanosensor technology can be used to create more efficient and sustainable agricultural systems. Outlines the fabrication and fundamental design concepts of nanosensors for agricultural applications Explains how nanosensors are being used throughout the agricultural cycle – from crop growth to food manufacturing Assesses major challenges surrounding the application of nanosensors to agricultural applications in mass scale

• Author : Saravanan Krishnan,J Bruce Ralphin Rose,N R Rajalakshmi,Narayanan Prasanth
• Publisher : CRC Press
• Release Date : 2022-02-14
• Total pages : 280
• ISBN : 9781000535136
• File Size : 34,9 Mb
• Total Download : 625
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Download Cloud IoT Systems for Smart Agricultural Engineering in PDF, Epub, and Kindle

Agriculture plays a vital role in a country’s growth. Modern-day technologies drive every domain toward smart systems. The use of traditional agricultural procedures to satisfy modern-day requirements is a challenging task. Cloud IoT Systems for Smart Agricultural Engineering provides substantial coverage of various challenges of the agriculture domain through modern technologies such as the Internet of Things (IoT), cloud computing, and many more. This book offers various state-of-the-art procedures to be deployed in a wide range of agricultural activities. The concepts are discussed with the necessary implementations and clear examples. Necessary illustrations are depicted in the chapters to ensure the effective delivery of the proposed concepts. It presents the rapid advancement of the technologies in the existing agricultural model by applying the cloud IoT techniques. A wide variety of novel architectural solutions are discussed in various chapters of this book. This book provides comprehensive coverage of the most essential topics, including: New approaches on urban and vertical farming Smart crop management for Indian farmers Smart livestock management Precision agriculture using geographical information systems Machine learning techniques combined with IoT for smart agriculture Effective use of drones in smart agriculture This book provides solutions for the diverse domain of problems in agricultural engineering. It can be used at the basic and intermediary levels for agricultural science and engineering graduate students, researchers, and practitioners.

• Author : Mohammad Ayoub Khan,Rijwan Khan,Mohammad Aslam Ansari
• Publisher : Academic Press
• Release Date : 2022-05-27
• Total pages : 330
• ISBN : 9780323906685
• File Size : 9,7 Mb
• Total Download : 786
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Download Application of Machine Learning in Agriculture in PDF, Epub, and Kindle

Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development. This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics. Addresses the technology of smart agriculture from a technical perspective Reveals opportunities for technology to improve and enhance not only yield and quality, but the economic value of a food crop Discusses physical instruments, simulations, sensors, and markets for machine learning in agriculture

• Author : Ramesh Chandra Poonia,Vijander Singh,Soumya Ranjan Nayak
• Publisher : Academic Press
• Release Date : 2022-01-09
• Total pages : 406
• ISBN : 9780323903622
• File Size : 15,7 Mb
• Total Download : 539
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Download Deep Learning for Sustainable Agriculture in PDF, Epub, and Kindle

Deep Learning for Sustainable Agriculture reviews the fundamental concepts of gathering, processing and analyzing different deep learning models, along with a review of methods that can be used in this direction. The book also covers novel deep learning techniques for effective agriculture data management with standards laid by international organizations in related fields. The book is centered around evolving novel intelligent/deep learning models to solve the mitigation of agriculture. There are several deep learning models known that are used for weather forecasting, plant disease detection, underground water detection, quality of soil, and many more issues in agriculture. Introduces the novel deep learning models needed to address sustainable solutions for issues related to agriculture Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable agriculture Offers perspectives for the design, development and commissioning of intelligent applications

• Author : Fiaz Ahmad,Muhammad Sultan
• Publisher : BoD – Books on Demand
• Release Date : 2021-10-13
• Total pages : 538
• ISBN : 9781838819217
• File Size : 22,7 Mb
• Total Download : 166
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Download Technology in Agriculture in PDF, Epub, and Kindle

Food security is one of the primary themes of the United Nations’ Sustainable Development Goals. In this regard, agricultural engineering is considered the backbone of agriculture, and agricultural mechanization is considered a helpful way to enhance crop yield and farmers’ profitability. Technology in Agriculture presents research in the field of agricultural engineering technologies and applications in agricultural equipment engineering, biosystem engineering, energy systems engineering, and computers in agriculture. It provides an overview of recent advancements in agricultural engineering and examines key aspects of emerging technologies and their applications. In addition, the book explores modern methodologies such as artificial intelligence and machine learning for agricultural mechanization.

• Author : Utku Kose,V. B. Surya Prasath,M. Rubaiyat Hossain Mondal,Prajoy Podder,Subrato Bharati
• Publisher : Auerbach Publications
• Release Date : 2022
• Total pages : 312
• ISBN : 1032120797
• File Size : 55,8 Mb
• Total Download : 459
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Download Artificial Intelligence and Smart Agriculture Technology in PDF, Epub, and Kindle

This book explores the application use of machine learning and artificial intelligence in smart agriculture by Identifying and describing functional and non-functional technologies. It identifies and discusses smart agriculture capabilities and conceptual prototypes, as well as demonstrates critical technological solutions.

• Author : Carolyn E. Sachs,Leif Jensen,Paige Castellanos,Kathleen Sexsmith
• Publisher : Routledge
• Release Date : 2020-10-28
• Total pages : 468
• ISBN : 9780429576355
• File Size : 43,9 Mb
• Total Download : 533
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Download Routledge Handbook of Gender and Agriculture in PDF, Epub, and Kindle

The Routledge Handbook of Gender and Agriculture covers major theoretical issues as well as critical empirical shifts in gender and agriculture. Gender relations in agriculture are shifting in most regions of the world with changes in the structure of agriculture, the organization of production, international restructuring of value chains, climate change, the global pandemic, and national and multinational policy changes. This book provides a cutting-edge assessment of the field of gender and agriculture, with contributions from both leading scholars and up-and-coming academics as well as policymakers and practitioners. The handbook is organized into four parts: part 1, institutions, markets, and policies; part 2, land, labor, and agrarian transformations; part 3, knowledge, methods, and access to information; and part 4, farming people and identities. The last chapter is an epilogue from many of the contributors focusing on gender, agriculture, and shifting food systems during the coronavirus pandemic. The chapters address both historical subjects as well as ground-breaking work on gender and agriculture, which will help to chart the future of the field. The handbook has an international focus with contributions examining issues at both the global and local levels with contributors from across the world. With contributions from leading academics, policymakers, and practitioners, and with a global outlook, the Routledge Handbook of Gender and Agriculture is an essential reference volume for scholars, students, and practitioners interested in gender and agriculture.

• Author : Srikanta Patnaik,Siddhartha Sen,Magdi S. Mahmoud
• Publisher : Springer Nature
• Release Date : 2020-02-07
• Total pages : 409
• ISBN : 9783030377946
• File Size : 44,8 Mb
• Total Download : 698
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Download Smart Village Technology in PDF, Epub, and Kindle

This book offers a transdisciplinary perspective on the concept of "smart villages" Written by an authoritative group of scholars, it discusses various aspects that are essential to fostering the development of successful smart villages. Presenting cutting-edge technologies, such as big data and the Internet-of-Things, and showing how they have been successfully applied to promote rural development, it also addresses important policy and sustainability issues. As such, this book offers a timely snapshot of the state-of-the-art in smart village research and practice.

• Author : Amitava Choudhury,Arindam Biswas,T. P. Singh,Santanu Kumar Ghosh
• Publisher : Springer Nature
• Release Date : 2022-01-01
• Total pages : 228
• ISBN : 9789811661242
• File Size : 33,8 Mb
• Total Download : 208
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Download Smart Agriculture Automation Using Advanced Technologies in PDF, Epub, and Kindle

This book addresses the challenges for developing and emerging trends in Internet-of-Things (IoT) for smart agriculture platforms. It also describes data analytics & machine learning, cloud architecture, automation & robotics and aims to overcome existing barriers for smart agriculture with commercial viability. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. The book explores a range of applications including intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems. This volume will be helpful for engineering and technology experts and researchers, as well as for policy-makers.

• Author : Latief Ahmad,Firasath Nabi
• Publisher : CRC Press
• Release Date : 2021-03-25
• Total pages : 224
• ISBN : 9781000364439
• File Size : 49,9 Mb
• Total Download : 663
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Download Agriculture 5.0 in PDF, Epub, and Kindle

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 : Mukhdeep Singh Manshahia,Valeriy Kharchenko,Elias Munapo,J. Joshua Thomas,Pandian Vasant
• Publisher : John Wiley & Sons
• Release Date : 2022-02-11
• Total pages : 944
• ISBN : 9781119792628
• File Size : 54,6 Mb
• Total Download : 520
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Download Handbook of Intelligent Computing and Optimization for Sustainable Development in PDF, Epub, and Kindle

HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants. As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently. Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions. The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies. It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare. Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.

• Author : Dionysis D. Bochtis
• Publisher : Springer Nature
• Release Date : 2021
• Total pages : 293
• ISBN : 9783030841560
• File Size : 51,8 Mb
• Total Download : 326
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Download Information and Communication Technologies for Agriculture--Theme IV. in PDF, Epub, and Kindle

This volume is the last (IV) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to digital transformation within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The focus in this volume is on the directions of Agriculture 4.0 which incorporates the transition to a new era of action in the Agricultural sector, represented by the evolution of digital technologies in 4 aspects: Big Data, Open Data, Internet of Things (IoT), and Cloud Computing. Under the heading of Action, 14 Chapters investigate the implementation of cutting-edge technologies on real world applications. It will become apparent to the reader that the penetration of ICT in agriculture can result in several benefits related to the sustainability of the sector and to yield the maximum benefits, successful management is required. The entire discussion highlights the importance of proper education in the adoption of innovative technologies starting with the adaption of educational systems to the new era and moving to the familiarization of farmers to the new technologies. This book covers topics that relate to the digital transformation of farming. It provides examples and case studies of this transformation from around the world, examines the process of diffusion of digital technologies, and assesses the current and future sustainability aspects of digital agriculture. More specifically, it deals with issues such as: Challenges and opportunities from the transition to Agriculture 4.0 Safety and health in agricultural work automation The role of digital farming on regional-spatial planning The enrollment of Social Media in IoT-based agriculture The role of education in digital agriculture Real-life implementation cases of smart agriculture around the world.

• Author : Gupta, Amit Kumar,Goyal, Dinesh,Singh, Vijander,Sharma, Harish
• Publisher : IGI Global
• Release Date : 2020-10-30
• Total pages : 280
• ISBN : 9781799850045
• File Size : 12,9 Mb
• Total Download : 731
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Download Smart Agricultural Services Using Deep Learning, Big Data, and IoT in PDF, Epub, and Kindle

The agricultural sector can benefit immensely from developments in the field of smart farming. However, this research area focuses on providing specific fixes to particular situations and falls short on implementing data-driven frameworks that provide large-scale benefits to the industry as a whole. Using deep learning can bring immense data and improve our understanding of various earth sciences and improve farm services to yield better crop production and profit. Smart Agricultural Services Using Deep Learning, Big Data, and IoT is an essential publication that focuses on the application of deep learning to agriculture. While highlighting a broad range of topics including crop models, cybersecurity, and sustainable agriculture, this book is ideally designed for engineers, programmers, software developers, agriculturalists, farmers, policymakers, researchers, academicians, and students.