Artificial Intelligence In Agriculture

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Artificial Intelligence in Agriculture

Author : Rajesh Singh
Publisher : CRC Press
ISBN 13 : 1000506215
Total Pages : 186 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Artificial Intelligence in Agriculture by : Rajesh Singh

Download or read book Artificial Intelligence in Agriculture written by Rajesh Singh and published by CRC Press. This book was released on 2021-11-23 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc. Note: T&F does not sell or distribute the hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. This title is co-published with NIPA.

Internet of Things and Machine Learning in Agriculture

Author : Jyotir Moy Chatterjee
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110691280
Total Pages : 454 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Internet of Things and Machine Learning in Agriculture by : Jyotir Moy Chatterjee

Download or read book Internet of Things and Machine Learning in Agriculture written by Jyotir Moy Chatterjee and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-02-08 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. Machine Learning and the Internet of Things can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.

Innovation in Agriculture with IoT and AI

Author : Suchismita Satapathy
Publisher : Springer Nature
ISBN 13 : 3030888282
Total Pages : 129 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Innovation in Agriculture with IoT and AI by : Suchismita Satapathy

Download or read book Innovation in Agriculture with IoT and AI written by Suchismita Satapathy and published by Springer Nature. This book was released on 2022-01-01 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines different innovations in worldwide agricultural-systems including the applications of artificial intelligence (AI), internet of things (IoT) and features of machine learning (ML) for the benefits of the farm-community. Specifically, it examines the use of agricultural equipment and IoT to reduce physical stress; innovative equipment that measure and reduce mental work load; and innovative techniques to help with employee safety. Featuring case studies and future implications, this book is an excellent guide for academics and researchers in the agri-sector.

Application of Machine Learning in Agriculture

Author : Mohammad Ayoub Khan
Publisher : Academic Press
ISBN 13 : 0323906680
Total Pages : 332 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Application of Machine Learning in Agriculture by : Mohammad Ayoub Khan

Download or read book Application of Machine Learning in Agriculture written by Mohammad Ayoub Khan and published by Academic Press. This book was released on 2022-05-14 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Agriculture 5.0

Author : Latief Ahmad
Publisher : CRC Press
ISBN 13 : 1000364437
Total Pages : 214 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Agriculture 5.0 by : Latief Ahmad

Download or read book Agriculture 5.0 written by Latief Ahmad and published by CRC Press. This book was released on 2021-03-24 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning and Artificial Intelligence for Agricultural Economics

Author : Chandrasekar Vuppalapati
Publisher : Springer Nature
ISBN 13 : 3030774856
Total Pages : 611 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Machine Learning and Artificial Intelligence for Agricultural Economics by : Chandrasekar Vuppalapati

Download or read book Machine Learning and Artificial Intelligence for Agricultural Economics written by Chandrasekar Vuppalapati and published by Springer Nature. This book was released on 2021-10-04 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications. The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization. Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors.

Artificial Intelligence and Smart Agriculture Technology

Author : Utku Kose
Publisher : CRC Press
ISBN 13 : 1000604373
Total Pages : 291 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Artificial Intelligence and Smart Agriculture Technology by : Utku Kose

Download or read book Artificial Intelligence and Smart Agriculture Technology written by Utku Kose and published by CRC Press. This book was released on 2022-06-27 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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

Author : Tomar, Pradeep
Publisher : IGI Global
ISBN 13 : 1799817245
Total Pages : 400 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture by : Tomar, Pradeep

Download or read book Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture written by Tomar, Pradeep and published by IGI Global. This book was released on 2021-01-08 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computer Vision and Machine Learning in Agriculture, Volume 2

Author : Mohammad Shorif Uddin
Publisher : Springer Nature
ISBN 13 : 9811699917
Total Pages : 269 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Computer Vision and Machine Learning in Agriculture, Volume 2 by : Mohammad Shorif Uddin

Download or read book Computer Vision and Machine Learning in Agriculture, Volume 2 written by Mohammad Shorif Uddin and published by Springer Nature. This book was released on 2022-03-13 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is as an extension of previous book “Computer Vision and Machine Learning in Agriculture” for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies.

Artificial Intelligence Applications in Agriculture and Food Quality Improvement

Author : Khan, Mohammad Ayoub
Publisher : IGI Global
ISBN 13 : 1668451433
Total Pages : 352 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Artificial Intelligence Applications in Agriculture and Food Quality Improvement by : Khan, Mohammad Ayoub

Download or read book Artificial Intelligence Applications in Agriculture and Food Quality Improvement written by Khan, Mohammad Ayoub and published by IGI Global. This book was released on 2022-05-27 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Food is a necessary aspect of human life, and agriculture is crucial to any country’s global economy. Because the food business is essential to both a country’s economy and global economy, artificial intelligence (AI)-based smart solutions are needed to assure product quality and food safety. The agricultural sector is constantly under pressure to boost crop output as a result of population growth. This necessitates the use of AI applications. Artificial Intelligence Applications in Agriculture and Food Quality Improvement discusses the application of AI, machine learning, and data analytics for the acceleration of the agricultural and food sectors. It presents a comprehensive view of how these technologies and tools are used for agricultural process improvement, food safety, and food quality improvement. Covering topics such as diet assessment research, crop yield prediction, and precision farming, this premier reference source is an essential resource for food safety professionals, quality assurance professionals, agriculture specialists, crop managers, agricultural engineers, food scientists, computer scientists, AI specialists, students, libraries, government officials, researchers, and academicians.

Smart Agriculture

Author : Govind Singh Patel
Publisher : CRC Press
ISBN 13 : 1000327876
Total Pages : 244 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Smart Agriculture by : Govind Singh Patel

Download or read book Smart Agriculture written by Govind Singh Patel and published by CRC Press. This book was released on 2021-02-11 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.

AI-Based Services for Smart Cities and Urban Infrastructure

Author : Lyu, Kangjuan
Publisher : IGI Global
ISBN 13 : 1799850250
Total Pages : 353 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis AI-Based Services for Smart Cities and Urban Infrastructure by : Lyu, Kangjuan

Download or read book AI-Based Services for Smart Cities and Urban Infrastructure written by Lyu, Kangjuan and published by IGI Global. This book was released on 2020-09-04 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.

Intelligent Data Mining and Fusion Systems in Agriculture

Author : Xanthoula Eirini Pantazi
Publisher : Academic Press
ISBN 13 : 0128143924
Total Pages : 330 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Intelligent Data Mining and Fusion Systems in Agriculture by : Xanthoula Eirini Pantazi

Download or read book Intelligent Data Mining and Fusion Systems in Agriculture written by Xanthoula Eirini Pantazi and published by Academic Press. This book was released on 2019-10-08 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms. Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agriculture Addresses AI use in weed management, disease detection, yield prediction and crop production Utilizes case studies to provide real-world insights and direction

Intelligent Connectivity

Author : Abdulrahman Yarali
Publisher : John Wiley & Sons
ISBN 13 : 1119685184
Total Pages : 356 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Intelligent Connectivity by : Abdulrahman Yarali

Download or read book Intelligent Connectivity written by Abdulrahman Yarali and published by John Wiley & Sons. This book was released on 2021-11-01 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTELLIGENT CONNECTIVITY AI, IOT, AND 5G Explore the economics and technology of AI, IOT, and 5G integration Intelligent Connectivity: AI, IoT, and 5G delivers a comprehensive technological and economic analysis of intelligent connectivity and the integration of artificial intelligence, Internet of Things (IoT), and 5G. It covers a broad range of topics, including Machine-to-Machine (M2M) architectures, edge computing, cybersecurity, privacy, risk management, IoT architectures, and more. The book offers readers robust statistical data in the form of tables, schematic diagrams, and figures that provide a clear understanding of the topic, along with real-world examples of applications and services of intelligent connectivity in different sectors of the economy. Intelligent Connectivity describes key aspects of the digital transformation coming with the 4th industrial revolution that will touch on industries as disparate as transportation, education, healthcare, logistics, entertainment, security, and manufacturing. Readers will also get access to: A thorough introduction to technology adoption and emerging trends in technology, including business trends and disruptive new applications Comprehensive explorations of telecommunications transformation and intelligent connectivity, including learning algorithms, machine learning, and deep learning Practical discussions of the Internet of Things, including its potential for disruption and future trends for technological development In-depth examinations of 5G wireless technology, including discussions of the first five generations of wireless tech Ideal for telecom and information technology managers, directors, and engineers, Intelligent Connectivity: AI, IoT, and 5G is also an indispensable resource for senior undergraduate and graduate students in telecom and computer science programs.

Deep Learning for Sustainable Agriculture

Author : Ramesh Chandra Poonia
Publisher : Academic Press
ISBN 13 : 0323903622
Total Pages : 408 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Deep Learning for Sustainable Agriculture by : Ramesh Chandra Poonia

Download or read book Deep Learning for Sustainable Agriculture written by Ramesh Chandra Poonia and published by Academic Press. This book was released on 2022-01-09 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm. Introduces new deep learning models developed 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 Illustrates through case studies how deep learning has been used to address a variety of agricultural diseases that are currently on the cutting edge Delivers an accessible explanation of artificial intelligence algorithms, making it easier for the reader to implement or use them in their own agricultural domain

Digital agriculture in action

Author : Elbehri, A., Chestnov, R. (eds.)
Publisher : Food & Agriculture Org.
ISBN 13 : 9251351023
Total Pages : 106 pages
Book Rating : 4.2/5 (513 download)

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Book Synopsis Digital agriculture in action by : Elbehri, A., Chestnov, R. (eds.)

Download or read book Digital agriculture in action written by Elbehri, A., Chestnov, R. (eds.) and published by Food & Agriculture Org.. This book was released on 2021-12-22 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication on artificial intelligence (AI) for agriculture is the fifth in the E-agriculture in Action series, launched in 2016 and jointly produced by FAO and ITU. It aims to raise awareness about existing AI applications in agriculture and to inspire stakeholders to develop and replicate the new ones. Improvement of capacity and tools for capturing and processing data and substantial advances in the field of machine learning open new horizons for data-driven solutions that can support decision-making, facilitate supervision and monitoring, improve the timeliness and effectiveness of safety measures (e.g. use of pesticides), and support automation of many resource-consuming tasks in agriculture. This publication presents the reader with a collection of informative applications highlighting various ways AI is used in agriculture and offering valuable insights on the implementation process, success factors, and lessons learnt.

AI, Edge and IoT-based Smart Agriculture

Author : Ajith Abraham
Publisher : Academic Press
ISBN 13 : 0128236957
Total Pages : 578 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis AI, Edge and IoT-based Smart Agriculture by : Ajith Abraham

Download or read book AI, Edge and IoT-based Smart Agriculture written by Ajith Abraham and published by Academic Press. This book was released on 2021-11-10 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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