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What is Agricultural Applications

Smart Agricultural Services Using Deep Learning, Big Data, and IoT
IT systems that enables using the architectural systems either remotely or locally.
Published in Chapter:
Fog Computing as Solution for IoT-Based Agricultural Applications
Amany Sarhan (Department of Computers and Control Engineering, Tanta University, Tanta, Egypt)
Copyright: © 2021 |Pages: 23
DOI: 10.4018/978-1-7998-5003-8.ch003
Abstract
Fog computing is a developing computing approach to extend and assist cloud computing. Fog computing platforms have several characteristics help providing the services for the users in a reduced time manner and thus improve the QoS of the IoT devices such as being close to edge-users, being open platform, and its support for mobility. Thus, it is becoming a necessary approach for user-centric IoT-based applications that involve real-time operations, for example, agricultural applications, internet of vehicles, road monitoring, and smart grid. In this chapter, the present characterizations of fog computing, its architectures and a comprehensive method of how it is used to handle IoT-based agricultural applications are discussed. The chapter also presents some of these possible applications highlighting how they could benefit from the fog layer in providing better services.
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