A Creative IoT agriculture platform for cloud fog computing

Autor: Tse-Chuan Hsu, Yeh-Ching Chung, Ching-Hsien Hsu, Hongji Yang
Rok vydání: 2020
Předmět:
Zdroj: Sustainable Computing: Informatics and Systems. 28:100285
ISSN: 2210-5379
DOI: 10.1016/j.suscom.2018.10.006
Popis: The innovative service process is a process that uses newly developed technologies to improve the current service models. The study proposes a creative service process based on the cloud computing platform of the Internet of Things and it can be used to improve the integration of the current cloud-to-physical networking and to improve the computing speed of the Internet of Things. In the past, most of the computing technologies focused on high-speed computing in cloud computing or remote operations of a single object. If a service requires cloud or fog resources that can make device use of high-speed computing in the cloud and a single point of operation integration on the object side, it will be able to quickly increase in the process of collaboration, the required data will be moved back and forth between Cloud and Fog, speeding up the cloud computing integration schedule. This research uses innovative platform technology to be applied to the cloud agriculture platform. Through cloud integration, it can be applied to large-area data collection and analysis, allowing farmland with limited network information resources to be integrated and automated, including agricultural monitoring automation, pest management image analysis and monitoring, which can be used to solve the predicament of large-area automation construction.
Databáze: OpenAIRE
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