当前位置: X-MOL 学术Sustain. Comput. Inform. Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Creative IoT agriculture platform for cloud fog computing
Sustainable Computing: Informatics and Systems ( IF 3.8 ) Pub Date : 2018-11-01 , DOI: 10.1016/j.suscom.2018.10.006
Tse-Chuan Hsu , Hongji Yang , Yeh-Ching Chung , Ching-Hsien Hsu

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.



中文翻译:

用于云雾计算的创新物联网农业平台

创新服务流程是使用新开发的技术来改进当前服务模型的流程。该研究提出了一种基于物联网云计算平台的创新服务流程,可用于改善当前云到物联网的集成,并提高物联网的计算速度。过去,大多数计算技术都专注于云计算中的高速计算或单个对象的远程操作。如果服务需要云或雾资源,这些资源可以利用设备在云中的高速计算,并在对象侧进行单点操作集成,则它将能够在协作过程中快速增加,所需数据将在Cloud和Fog之间来回移动,加快云计算集成进度。本研究使用创新的平台技术将其应用于云农业平台。通过云集成,可将其应用于大面积数据收集和分析,从而使网络信息资源有限的农田得以集成和自动化,包括农业监测自动化,病虫害管理图像分析和监测,可用于解决困境大面积自动化建设。

更新日期:2018-11-01
down
wechat
bug