Internet Of Things And Analytics For Agriculture Volume 3

Author : Prasant Kumar Pattnaik,Raghvendra Kumar,Souvik Pal
Publisher : Springer Nature
Page : 385 pages
File Size : 42,5 Mb
Release : 2021-11-10
Category : Technology & Engineering
ISBN : 9789811662102

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Internet of Things and Analytics for Agriculture, Volume 3 by Prasant Kumar Pattnaik,Raghvendra Kumar,Souvik Pal Pdf

The book discusses one of the major challenges in agriculture which is delivery of cultivate produce to the end consumers with best possible price and quality. Currently all over the world, it is found that around 50% of the farm produce never reaches the end consumer due to wastage and suboptimal prices. The authors present solutions to reduce the transport cost, predictability of prices on the past data analytics and the current market conditions, and number of middle hops and agents between the farmer and the end consumer using IoT-based solutions. Again, the demand by consumption of agricultural products could be predicted quantitatively; however, the variation of harvest and production by the change of farm's cultivated area, weather change, disease and insect damage, etc., could be difficult to be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome, this edited book designed the IoT-based monitoring system to analyze crop environment and the method to improve the efficiency of decision making by analyzing harvest statistics. The book is also useful for academicians working in the areas of climate changes.

Author : Prasant Kumar Pattnaik,Raghvendra Kumar,Souvik Pal
Publisher : Springer Nature
Page : 288 pages
File Size : 44,8 Mb
Release : 2019-10-24
Category : Technology & Engineering
ISBN : 9789811506635

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Internet of Things and Analytics for Agriculture, Volume 2 by Prasant Kumar Pattnaik,Raghvendra Kumar,Souvik Pal Pdf

This book addresses major challenges faced by farmers and the technological solutions based on Internet of Things (IoT). A major challenge in agriculture is cultivating and supplying high-quality produce at the best. Currently, around 50% of global farm produce never reaches the end consumer due to wastage and suboptimal prices. The book presents solutions that reduce the transport costs, improve the predictability of prices based on data analytics and the current market conditions, and reduce the number of middle steps and agents between the farmer and the end consumer. It discusses the design of an IoT-based monitoring system to analyze crop environments and a method to improve the efficiency of decision-making by analyzing harvest statistics. Further, it explores climate-smart methods, known as smart agriculture, that have been adopted by a number of Indian farmers.

Author : Prasant Kumar Pattnaik,Raghvendra Kumar,Souvik Pal,S. N. Panda
Publisher : Springer Nature
Page : 250 pages
File Size : 40,8 Mb
Release : 2019-10-01
Category : Technology & Engineering
ISBN : 9789811391774

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IoT and Analytics for Agriculture by Prasant Kumar Pattnaik,Raghvendra Kumar,Souvik Pal,S. N. Panda Pdf

This book presents recent findings on virtually every aspect of wireless IoT and analytics for agriculture. 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. In turn, it addresses the latest innovations, trends, and concerns, as well as practical challenges encountered and solutions adopted in the fields of IoT and analytics for agriculture. In closing, it 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.

Author : Amitava Choudhury,Arindam Biswas,T. P. Singh,Santanu Kumar Ghosh
Publisher : Springer Nature
Page : 236 pages
File Size : 46,7 Mb
Release : 2022-01-01
Category : Computers
ISBN : 9789811661242

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Smart Agriculture Automation Using Advanced Technologies by Amitava Choudhury,Arindam Biswas,T. P. Singh,Santanu Kumar Ghosh Pdf

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 : Ajith Abraham,Sujata Dash,Joel J.P.C. Rodrigues,Biswaranjan Acharya,Subhendu Kumar Pani
Publisher : Academic Press
Page : 578 pages
File Size : 45,9 Mb
Release : 2021-11-10
Category : Technology & Engineering
ISBN : 9780128236956

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AI, Edge and IoT-based Smart Agriculture by Ajith Abraham,Sujata Dash,Joel J.P.C. Rodrigues,Biswaranjan Acharya,Subhendu Kumar Pani Pdf

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,A.Jose Anand,Narayanan Prasanth,Sam Goundar,Christo Ananth
Publisher : CRC Press
Page : 386 pages
File Size : 40,7 Mb
Release : 2023-12-18
Category : Computers
ISBN : 9781000991482

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Predictive Analytics in Smart Agriculture by Saravanan Krishnan,A.Jose Anand,Narayanan Prasanth,Sam Goundar,Christo Ananth Pdf

Predictive Analysis in Smart Agricultureexplores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. The book also provides a case-oriented approach for IoT-based agricultural systems. This book deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated. This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications.

Author : Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Vishal Jain
Publisher : Walter de Gruyter GmbH & Co KG
Page : 454 pages
File Size : 53,7 Mb
Release : 2021-02-08
Category : Computers
ISBN : 9783110691283

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Internet of Things and Machine Learning in Agriculture by Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Vishal Jain Pdf

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.

Author : Dionysis D. Bochtis,Dimitrios E. Moshou,Giorgos Vasileiadis,Athanasios Balafoutis,Panos M. Pardalos
Publisher : Springer Nature
Page : 296 pages
File Size : 55,6 Mb
Release : 2022-03-17
Category : Business & Economics
ISBN : 9783030841485

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Information and Communication Technologies for Agriculture—Theme II: Data by Dionysis D. Bochtis,Dimitrios E. Moshou,Giorgos Vasileiadis,Athanasios Balafoutis,Panos M. Pardalos Pdf

This volume is the second (II) 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 first part of this book (II) focuses on data technologies in relation to agriculture and presents three key points in data management, namely, data collection, data fusion, and their uses in machine learning and artificial intelligent technologies. Part 2 is devoted to the integration of these technologies in agricultural production processes by presenting specific applications in the domain. Part 3 examines the added value of data management within agricultural products value chain. The book provides an exceptional reference for those researching and working in or adjacent to agricultural production, including engineers in machine learning and AI, operations management, decision analysis, information analysis, to name just a few. Specific advances covered in the volume: Big data management from heterogenous sources Data mining within large data sets Data fusion and visualization IoT based management systems Data Knowledge Management for converting data into valuable information Metadata and data standards for expanding knowledge through different data platforms AI - based image processing for agricultural systems Data - based agricultural business Machine learning application in agricultural products value chain

Author : Govind Singh Patel,Amrita Rai,Nripendra Narayan Das,R.P. Singh
Publisher : CRC Press
Page : 268 pages
File Size : 49,9 Mb
Release : 2021-02-11
Category : Technology & Engineering
ISBN : 9781000327892

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Smart Agriculture by Govind Singh Patel,Amrita Rai,Nripendra Narayan Das,R.P. Singh Pdf

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.

Author : Annamaria Castrignano,Gabriele Buttafuoco,Raj Khosla,Abdul Mouazen,Dimitrios Moshou,Olivier Naud
Publisher : Academic Press
Page : 472 pages
File Size : 47,7 Mb
Release : 2020-01-09
Category : Business & Economics
ISBN : 9780128183748

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Agricultural Internet of Things and Decision Support for Precision Smart Farming by Annamaria Castrignano,Gabriele Buttafuoco,Raj Khosla,Abdul Mouazen,Dimitrios Moshou,Olivier Naud Pdf

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 : Latief Ahmad,Firasath Nabi
Publisher : CRC Press
Page : 214 pages
File Size : 48,6 Mb
Release : 2021-03-24
Category : Technology & Engineering
ISBN : 9781000364439

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Agriculture 5.0 by Latief Ahmad,Firasath Nabi Pdf

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 : Yong He,Pengcheng Nie,Qin Zhang,Fei Liu
Publisher : Springer Nature
Page : 443 pages
File Size : 50,8 Mb
Release : 2021-08-02
Category : Technology & Engineering
ISBN : 9783030657024

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Agricultural Internet of Things by Yong He,Pengcheng Nie,Qin Zhang,Fei Liu Pdf

Internet of things (IoT) is a new type of network that combines communication technology, expanded applications, and physical devices. Among them, agriculture is one of the most important areas in the application of the IoT technology, which has its unique requirements and integration features. Compared to the information technology in traditional agriculture, the agricultural IoT mainly refers to industrialized production and sustainable development under relatively controllable conditions. Agricultural IoT applies sensors, RFID, visual capture terminals and other types of sensing devices to detect and collect site information, and with broad applications in field planting, facility horticulture, livestock and poultry breeding, aquaculture and agricultural product logistics. It utilizes multiple information transmission channels such as wireless sensor networks, telecommunications networks and the internet to achieve reliable transmission of agricultural information at multiple scales and intelligently processes the acquired, massive information. The goals are to achieve (i) optimal control of agricultural production process, (ii) intelligent electronic trading of agricultural products circulation, and (iii) management of systematic logistics, quality and safety traceability. This book focuses on three levels of agricultural IoT network: information perception technology, information transmission technology and application technology.

Author : Fausto Pedro García Márquez
Publisher : Springer Nature
Page : 540 pages
File Size : 46,7 Mb
Release : 2024-06-12
Category : Electronic
ISBN : 9783031537172

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Computing, Internet of Things and Data Analytics by Fausto Pedro García Márquez Pdf

Author : Utku Kose,V. B. Surya Prasath,M. Rubaiyat Hossain Mondal,Prajoy Podder,Subrato Bharati
Publisher : CRC Press
Page : 291 pages
File Size : 53,9 Mb
Release : 2022-06-27
Category : Computers
ISBN : 9781000604375

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Artificial Intelligence and Smart Agriculture Technology by Utku Kose,V. B. Surya Prasath,M. Rubaiyat Hossain Mondal,Prajoy Podder,Subrato Bharati Pdf

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 : Gupta, Amit Kumar,Goyal, Dinesh,Singh, Vijander,Sharma, Harish
Publisher : IGI Global
Page : 280 pages
File Size : 41,7 Mb
Release : 2020-10-30
Category : Technology & Engineering
ISBN : 9781799850045

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Smart Agricultural Services Using Deep Learning, Big Data, and IoT by Gupta, Amit Kumar,Goyal, Dinesh,Singh, Vijander,Sharma, Harish Pdf

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.