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Critical Approaches to Data Engineering Systems Innovation and Industry Application Using IoT

Critical Approaches to Data Engineering Systems Innovation and Industry Application Using IoT
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Author(s): Naren Kathirvel (Anand Institute of Higher Technology, India), Kathirvel Ayyaswamy (Department of Computer Science and Engineering, Panimalar Engineering College, India)and B. Santhoshi (St. Anne's Arts and Science College, India)
Copyright: 2024
Pages: 26
Source title: Critical Approaches to Data Engineering Systems and Analysis
Source Author(s)/Editor(s): Abhijit Bora (Assam Don Bosco University, India), Papul Changmai (Assam Don Bosco University, India)and Mrutyunjay Maharana (Xi’an Jiatong University, China)
DOI: 10.4018/979-8-3693-2260-4.ch005

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Abstract

The IoT influence presents new design and implementation challenges in a variety of fields, including seamless platform integration, context-based cognitive network integration, new mobile sensor/actuator network paradigms, architectural domains for smart farming, infrastructure, healthcare, agriculture, business, and commerce. Applications for automation in the internet of robotic things (IoRT) are numerous and are developing quickly. IoRT blends the strength of robots and the internet of things (IoT), resulting in creative solutions for a range of sectors. While ensuring the authenticity of the content in this introduction, the authors shall investigate the wide range of IoRT automation applications. IoRT automation refers to a broad range of endeavors that use connected gadgets, sensors, and autonomous machinery to improve production, efficiency, and safety across a variety of industries. These regions are general categories into which these programs can be placed: Industry 4.0 and manufacturing

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