Recent advancements in multimedia big data computing for IoT applications in precision agriculture: Opportunities, issues, and challenges

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Abstract

This chapter aims to present a survey on the existing techniques and architectures of Multimedia Big Data (MMBD) computing for Internet of Things (IoT) applications in Precision Agriculture, along with the opportunities, issues, and challenges it poses in the context. As a consequence of the digital revolution and ease of availability of electronic devices, a massive amount of data is being acquired from a variety of sources. On one hand, this overwhelming quantity of multimedia data poses several challenges, from its storage to transmission, and on the other, it presents an opportunity to provide an insight into the business trends, intelligence and render rich decision support. One of the key applications of MMBD Computing is Precision Agriculture. The chapter focuses on major agricultural applications, cyber-physical systems for smart farming, multimedia data collection approaches, and various IoT sensors along with wireless communication technologies employed in the field of Precision Agriculture.

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Verma, S., Bhatia, A., Chug, A., & Singh, A. P. (2020). Recent advancements in multimedia big data computing for IoT applications in precision agriculture: Opportunities, issues, and challenges. In Intelligent Systems Reference Library (Vol. 163, pp. 391–416). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-13-8759-3_15

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