Fog Computing Approach for Data Driven in Smart Agriculture

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Onkar Nath Sinha, et. al.

Abstract

: A large part of these day’s global population is absolutely structured upon agriculture enterprise for its supply of livelihood. Smart agriculture is an improvement which emphasizes the use of statistics and conversation era. Fog computing, cloud computing and information pushed are the unique strategies to offer a notable opportunity for smart agriculture to boom within the productiveness with the aid of getting actionable insights to improve farming activities and increase within the performance and yield. Data driven is typically used to refer a manner or pastime this is spurred on by means of information, in place of being pushed by means of mere instinct or depending on the collection or analysis of data. Data pushed is the collection of actual time records associated with soil, environmental factors, planting, intercultural management and harvesting, value and pest management. The existing systems which might be primarily depends on traditional cloud models are insufficient to deal with a lot of information produced by the Internet of Things (IoT) gadgets which is associated. After decreasing latency in assisting the real time selections which is primarily based at the statistics produced. To be the most important issue, the facts processing closer to the supply of its production. This can be passed off with the aid of adopting the fog based mechanism. Fog computing which is dwells among cloud and Internet of Things (IoT), was proposed. In the Fog figuring environment, IoT gadgets are associated with fog gadgets. Smart agriculture based totally on IoT-Fog may be extra in a position in phrases of greatest utilization of bandwidth or latency for real time decision making. In this research paper, we had to provide the facts exploration of Fog Computing (FC) function above Cloud Computing (CC) towards observing smart agriculture.

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How to Cite
et. al., O. N. S. . (2021). Fog Computing Approach for Data Driven in Smart Agriculture. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(7), 1086–1094. Retrieved from https://turcomat.org/index.php/turkbilmat/article/view/2717
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