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AI, Edge and IoT-based Smart Agriculture

AI, Edge and IoT-based Smart Agriculture
  • Author : Ajith Abraham,Sujata Dash,Joel J.P.C. Rodrigues,Biswaranjan Acharya,Subhendu Kumar Pani
  • Publisher : Academic Press
  • Release : 10 November 2021
GET THIS BOOKAI, Edge and IoT-based Smart Agriculture

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

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Agriculture 5.0

Agriculture 5.0
  • Author : Latief Ahmad,Firasath Nabi
  • Publisher : CRC Press
  • Release : 25 March 2021
GET THIS BOOKAgriculture 5.0

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

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

Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture
  • Author : Tomar, Pradeep,Kaur, Gurjit
  • Publisher : IGI Global
  • Release : 08 January 2021
GET THIS BOOKArtificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture

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

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AI-Based Services for Smart Cities and Urban Infrastructure

AI-Based Services for Smart Cities and Urban Infrastructure
  • Author : Lyu, Kangjuan,Hu, Min,Du, Juan,Sugumaran, Vijayan
  • Publisher : IGI Global
  • Release : 04 September 2020
GET THIS BOOKAI-Based Services for Smart Cities and Urban Infrastructure

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

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Industrial IoT Technologies and Applications

Industrial IoT Technologies and Applications
  • Author : Lourdes Peñalver,Lorena Parra
  • Publisher : Springer Nature
  • Release : 10 March 2021
GET THIS BOOKIndustrial IoT Technologies and Applications

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Industrial IoT Technologies and Applications, IoT 2020, held in December 2020. Due to Covid-19 pandemic the conference was held virtually. The widespread deployment of wireless sensor networks, clouds, industrial robot, embedded computing and inexpensive sensors has facilitated industrial Internet of Things (IndustrialIoT) technologies and fostered some emerging applications. The 14 carefully reviewed papers are a selection from 28 submissions and detail topics in the context of IoT for a smarter

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Wireless Mobile Communication and Healthcare

Wireless Mobile Communication and Healthcare
  • Author : Gregory M.P. O'Hare,Michael J. O'Grady,John O’Donoghue,Patrick Henn
  • Publisher : Springer Nature
  • Release : 27 May 2020
GET THIS BOOKWireless Mobile Communication and Healthcare

This book constitutes the refereed post-conference proceedings of the 8th International Conference on Mobile Communication and Healthcare, MobiHealth 2019, held in Dublin, Ireland, in November 2019. The 26 revised full papers were reviewed and selected from 45 submissions and are organized in topical sections on mobility and real-time assessment, remote patient monitoring, patient monitoring and assessment of ICT solutions, patient monitoring and robotics, wearable technologies and smart measurement, data management within mHealth environments.

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AI and IoT-Based Intelligent Automation in Robotics

AI and IoT-Based Intelligent Automation in Robotics
  • Author : Ashutosh Kumar Dubey,Abhishek Kumar,S. Rakesh Kumar,N. Gayathri,Prasenjit Das
  • Publisher : John Wiley & Sons
  • Release : 24 March 2021
GET THIS BOOKAI and IoT-Based Intelligent Automation in Robotics

The 24 chapters in this book provides a deep overview of robotics and the application of AI and IoT in robotics. It contains the exploration of AI and IoT based intelligent automation in robotics. The various algorithms and frameworks for robotics based on AI and IoT are presented, analyzed, and discussed. This book also provides insights on application of robotics in education, healthcare, defense and many other fields which utilize IoT and AI. It also introduces the idea of smart cities

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Responsible Leadership

Responsible Leadership
  • Author : Nicola M. Pless,Thomas Maak
  • Publisher : Springer Science & Business Media
  • Release : 27 November 2012
GET THIS BOOKResponsible Leadership

These chapters on ‘Responsible Leadership’ represent the latest thinking on a topic of increasing relevance in a connected world. There are many challenges that still remain when it comes to establishing responsible leadership both in theory and practice. Whilst offering conceptualisations for the improvement of leadership is a first and perhaps easier response, what is more difficult is to facilitate the actual change to happen. These chapters will not only generate interest in the emerging domain of studies on responsible

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Edge Computing and Computational Intelligence Paradigms for the IoT

Edge Computing and Computational Intelligence Paradigms for the IoT
  • Author : Nagarajan, G.,Minu, R.I.
  • Publisher : IGI Global
  • Release : 14 June 2019
GET THIS BOOKEdge Computing and Computational Intelligence Paradigms for the IoT

Edge computing is focused on devices and technologies that are attached to the internet of things (IoT). Identifying IoT use across a range of industries and measuring strategic values helps identify what technologies to pursue and can avoid wasted resources on deployments with limited values. Edge Computing and Computational Intelligence Paradigms for the IoT is a critical research book that provides a complete insight on the recent advancements and integration of intelligence in IoT. This book highlights various topics such

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Machine Learning and IoT for Intelligent Systems and Smart Applications

Machine Learning and IoT for Intelligent Systems and Smart Applications
  • Author : Madhumathy P,M Vinoth Kumar,R. Umamaheswari
  • Publisher : CRC Press
  • Release : 18 November 2021
GET THIS BOOKMachine Learning and IoT for Intelligent Systems and Smart Applications

The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described

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Artificial Intelligence to Solve Pervasive Internet of Things Issues

Artificial Intelligence to Solve Pervasive Internet of Things Issues
  • Author : Gurjit Kaur,Pradeep Tomar,Marcus Tanque
  • Publisher : Academic Press
  • Release : 18 November 2020
GET THIS BOOKArtificial Intelligence to Solve Pervasive Internet of Things Issues

Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components

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Internet of Things and Machine Learning in Agriculture

Internet of Things and Machine Learning in Agriculture
  • Author : Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Vishal Jain
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 08 February 2021
GET THIS BOOKInternet of Things and Machine Learning in Agriculture

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

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Building Agriculture AI System with Data Fusion and Computer Vision

Building Agriculture AI System with Data Fusion and Computer Vision
  • Author : Wei Zhao
  • Publisher : Anonim
  • Release : 09 December 2021
GET THIS BOOKBuilding Agriculture AI System with Data Fusion and Computer Vision

Smart farming and precision agriculture have been researched to increase crop production with fewer inputs, as a promising means to meet the growing demand for agricultural products. Several applications of artificial intelligence (AI) are already developed for use in agriculture and farming purposes and it is anticipated that uses of "AI farming" will assist the agriculture sector in the future to drive more efficient production.To understand how to leverage the advantages of smart farming systems in developing innovative farming

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