Artificial Intelligence And Internet Of Things In Smart Farming

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Artificial Intelligence and Internet of Things in Smart Farming

Mohamed Abdel-Basset,Hossam Hawash,Laila Abdel-Fatah
Artificial Intelligence and Internet of Things in Smart Farming Book PDF

Author : Mohamed Abdel-Basset,Hossam Hawash,Laila Abdel-Fatah
Publisher : CRC Press
Page : 315 pages
File Size : 51,8 Mb
Release : 2024-04-01
Category : Computers
ISBN : 9781003861850

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Artificial Intelligence and Internet of Things in Smart Farming by Mohamed Abdel-Basset,Hossam Hawash,Laila Abdel-Fatah Pdf

This book provides a broad overview of the areas of artificial intelligence (AI) that can be used for smart farming applications, through either successful engineering or ground-breaking research. Among them, the highlighted tactics are soil management, water management, crop management, livestock management, harvesting, and the integration of Internet of Things (IoT) in smart farming. Artificial Intelligence and Internet of Things in Smart Farming explores different types of smart framing systems for achieving sustainability goals in the real environment. The authors discuss the benefits of smart harvesting systems over traditional harvesting methods, including decreased labor requirements, increased crop yields, increased probabilities of successful harvests, enhanced visibility into crop health, and lower overall harvest and production costs. It explains and describes big data in terms of its potential five dimensions—volume, velocity, variety, veracity, and valuation—within the framework of smart farming. The authors also discuss the recent IoT technologies, such as fifth-generation networks, blockchain, and digital twining, to improve the sustainability and productivity of smart farming systems. The book identifies numerous issues that call for conceptual innovation and has the potential to progress machine learning (ML), resulting in significant impacts. As an illustration, the authors point out how smart farming offers an intriguing field for interpretable ML. The book then delves into the function of AI techniques, such as AI in accelerating the development of nano-enabled agriculture, thereby facilitating safe-by-design nanomaterials for various consumer products and medical applications. This book is for undergraduate students, graduate students, researchers, and AI engineers who pursue a strong understanding of the practical methods of machine learning in the agriculture domain. Practitioners and stakeholders would be able to follow this book to understand the potential of ML in their farming projects and agricultural solutions. Features: • Explores different types of smart framing systems for achieving sustainability goals in the real environment • Explores ML-based analytics such as generative adversarial networks (GAN), autoencoders, computational imaging, and quantum computing • Examines the development of intelligent machines to provide solutions to real-world problems, emphasizing smart farming applications, which are not modeled or are extremely difficult to model mathematically • Emphasizes methods for better managing crops, soils, water, and livestock, urging investors and businesspeople to occupy the existing vacant market area • Discusses AI-empowered Nanotechnology for smart farming

Smart Agriculture Automation Using Advanced Technologies

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

Author : Amitava Choudhury,Arindam Biswas,T. P. Singh,Santanu Kumar Ghosh
Publisher : Springer Nature
Page : 236 pages
File Size : 41,9 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.

Internet of Things and Analytics for Agriculture, Volume 3

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

Author : Prasant Kumar Pattnaik,Raghvendra Kumar,Souvik Pal
Publisher : Springer Nature
Page : 385 pages
File Size : 45,6 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.

Smart Agriculture

Govind Singh Patel,Amrita Rai,Nripendra Narayan Das,R.P. Singh
Smart Agriculture Book PDF

Author : Govind Singh Patel,Amrita Rai,Nripendra Narayan Das,R.P. Singh
Publisher : CRC Press
Page : 268 pages
File Size : 51,5 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.

Internet of Things and Machine Learning in Agriculture

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

Author : Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Vishal Jain
Publisher : Walter de Gruyter GmbH & Co KG
Page : 454 pages
File Size : 43,9 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.

Artificial Intelligence and Smart Agriculture Technology

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

Author : Utku Kose,V. B. Surya Prasath,M. Rubaiyat Hossain Mondal,Prajoy Podder,Subrato Bharati
Publisher : CRC Press
Page : 291 pages
File Size : 51,5 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.

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

Tomar, Pradeep,Kaur, Gurjit
Artificial Intelligence and IoT Based Technologies for Sustainable Farming and Smart Agriculture Book PDF

Author : Tomar, Pradeep,Kaur, Gurjit
Publisher : IGI Global
Page : 400 pages
File Size : 51,7 Mb
Release : 2021-01-08
Category : Technology & Engineering
ISBN : 9781799817246

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Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture by Tomar, Pradeep,Kaur, Gurjit Pdf

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.

Agriculture 5.0

Latief Ahmad,Firasath Nabi
Agriculture 5 0 Book PDF

Author : Latief Ahmad,Firasath Nabi
Publisher : CRC Press
Page : 214 pages
File Size : 55,7 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.

AI, Edge and IoT-based Smart Agriculture

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

Author : Ajith Abraham,Sujata Dash,Joel J.P.C. Rodrigues,Biswaranjan Acharya,Subhendu Kumar Pani
Publisher : Academic Press
Page : 578 pages
File Size : 50,6 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

Cloud IoT Systems for Smart Agricultural Engineering

Saravanan Krishnan,J Bruce Ralphin Rose,N R Rajalakshmi,Narayanan Prasanth
Cloud IoT Systems for Smart Agricultural Engineering Book PDF

Author : Saravanan Krishnan,J Bruce Ralphin Rose,N R Rajalakshmi,Narayanan Prasanth
Publisher : CRC Press
Page : 280 pages
File Size : 55,5 Mb
Release : 2022-02-14
Category : Computers
ISBN : 9781000535136

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Cloud IoT Systems for Smart Agricultural Engineering by Saravanan Krishnan,J Bruce Ralphin Rose,N R Rajalakshmi,Narayanan Prasanth Pdf

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.

Agricultural Informatics

Amitava Choudhury,Arindam Biswas,Manish Prateek,Amlan Chakrabarti
Agricultural Informatics Book PDF

Author : Amitava Choudhury,Arindam Biswas,Manish Prateek,Amlan Chakrabarti
Publisher : John Wiley & Sons
Page : 304 pages
File Size : 43,5 Mb
Release : 2021-04-06
Category : Computers
ISBN : 9781119768845

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Agricultural Informatics by Amitava Choudhury,Arindam Biswas,Manish Prateek,Amlan Chakrabarti Pdf

Despite the increasing population (the Food and Agriculture Organization of the United Nations estimates 70% more food will be needed in 2050 than was produced in 2006), issues related to food production have yet to be completely addressed. In recent years, Internet of Things technology has begun to be used to address different industrial and technical challenges to meet this growing need. These Agro-IoT tools boost productivity and minimize the pitfalls of traditional farming, which is the backbone of the world's economy. Aided by the IoT, continuous monitoring of fields provides useful and critical information to farmers, ushering in a new era in farming. The IoT can be used as a tool to combat climate change through greenhouse automation; monitor and manage water, soil and crops; increase productivity; control insecticides/pesticides; detect plant diseases; increase the rate of crop sales; cattle monitoring etc. Agricultural Informatics: Automation Using the IoT and Machine Learning focuses on all these topics, including a few case studies, and they give a clear indication as to why these techniques should now be widely adopted by the agriculture and farming industries.

Predictive Analytics in Smart Agriculture

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

Author : Saravanan Krishnan,A.Jose Anand,Narayanan Prasanth,Sam Goundar,Christo Ananth
Publisher : CRC Press
Page : 386 pages
File Size : 48,7 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.

IoT and AI in Agriculture

Tofael Ahamed
IoT and AI in Agriculture Book PDF

Author : Tofael Ahamed
Publisher : Springer Nature
Page : 469 pages
File Size : 43,8 Mb
Release : 2023-04-10
Category : Technology & Engineering
ISBN : 9789811981135

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IoT and AI in Agriculture by Tofael Ahamed Pdf

This book reviews recent innovations in the smart agriculture space that use the Internet of Things (IoT) and sensing to deliver Artificial Intelligence (AI) solutionsto agricultural productivity in the agricultural production hubs. In this regard, South and Southeast Asia are one of the major agricultural hubs of the world, facing challenges of climate change and feeding the fast-growing population. To address such challenges, a transboundary approach along with AI and BIG data for bioinformatics are required to increase yield and minimize pre- and post-harvest losses in intangible climates to drive the sustainable development goal (SDG) for feeding a major part of the 9 billion population by 2050 (Society 5.0 SDG 1 & 2). Therefore, this book focuses on the solution through smart IoT and AI-based agriculture including pest infestation and minimizing agricultural inputs for in-house and fields production such as light, water, fertilizer and pesticides to ensure food security aligns with environmental sustainability. It provides a sound understanding for creating new knowledge in line with comprehensive research and education orientation on how the deployment of tiny sensors, AI/Machine Learning (ML), controlled UAVs, and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms for nurturing and driving the pace of smart agriculture in this current time. The book will appeal to several audiences and the contents are designed for researchers, graduates, and undergraduate students working in any area of machine learning, deep learning in agricultural engineering, smart agriculture, and environmental science disciplines. Utmost care has been taken to present a varied range of resource areas along with immense insights into the impact and scope of IoT, AI and ML in the growth of intelligent digital farming and smart agriculture which will give comprehensive information to the targeted readers.

Green Internet of Things and Machine Learning

Roshani Raut,Sandeep Kautish,Zdzislaw Polkowski,Anil Kumar,Chuan-Ming Liu
Green Internet of Things and Machine Learning Book PDF

Author : Roshani Raut,Sandeep Kautish,Zdzislaw Polkowski,Anil Kumar,Chuan-Ming Liu
Publisher : John Wiley & Sons
Page : 279 pages
File Size : 47,8 Mb
Release : 2022-01-10
Category : Computers
ISBN : 9781119793120

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Green Internet of Things and Machine Learning by Roshani Raut,Sandeep Kautish,Zdzislaw Polkowski,Anil Kumar,Chuan-Ming Liu Pdf

Health Economics and Financing Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment. The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier. Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare. Audience The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.

Internet of Things and Analytics for Agriculture, Volume 2

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

Author : Prasant Kumar Pattnaik,Raghvendra Kumar,Souvik Pal
Publisher : Springer Nature
Page : 288 pages
File Size : 40,9 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.