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Title Internet Of Things And Dew Computing-Based System For Smart Agriculture
ID_Doc 32933
Authors Bera S.; Dey T.; Ghosh S.; Mukherjee A.
Year 2024
Published Internet of Things, 2024
DOI http://dx.doi.org/10.1007/978-981-99-4590-0_14
Abstract Internet of Things has revolutionised our daily life by providing varied smart applications. Smart healthcare, smart home monitoring, smart city, smart retail, etc., are various sectors where Internet of Things serves as the principal element. Agriculture is one of the significant sectors of a country that also seeks smart solutions. The use of Internet of Things in agriculture has become popular in the last few years. In this chapter, we discuss the use of Internet of Things in smart agriculture along with the use of dew computing. The dew computing paradigm is able to provide access to the data even offline. The architecture of dew computing-based smart agriculture has been demonstrated. Various machine learning algorithms used for data analysis have been discussed. The advantage of using dew computing over the conventional cloud-only system, edge/fog computing-based system, are also highlighted in this chapter. From the simulation results, we observe that the dew computing-based paradigm has approximately 40% and 55% lower latency than the edge-based and cloud-only paradigms, respectively. © 2024, Springer Science and Business Media Deutschland GmbH. All rights reserved.
Author Keywords Agriculture; Dew computing; Internet of things; Latency; Machine learning


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