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A Smart Farming Video Streaming Classification System (SFVSCS)

Journal: International Journal of Multidisciplinary Research and Publications (Vol.6, No. 5)

Publication Date:

Authors : ;

Page : 165-177

Keywords : ;

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Abstract

The Smart Farming Video Streaming Classification System (SFVSCS) is a comprehensive taxonomy designed to categorize and organize the diverse aspects of video streaming in the context of smart farming. In an era where technology plays an integral role in agriculture, video streaming has emerged as a crucial tool for monitoring, decision-making, and data collection. The SFVSCS provides a structured framework for understanding the myriad factors associated with video streaming in smart farming, including the technology used, deployment locations, applications, data analytics, viewing platforms, integration with other technologies, and more. By employing the SFVSCS, stakeholders in the agricultural industry can efficiently identify, classify, and implement video streaming solutions that best suit their specific needs, ultimately contributing to the optimization and sustainability of modern farming practices

Last modified: 2024-01-08 20:38:56