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Implementation of Data Collecting Platform Over Distributed Sensors for Global Open Data for Agriculture and Nutrition

机译:通过分布式传感器实现农业和营养全球开放数据的数据收集平台的实施

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Agriculture nowadays deals with numerous factors to support the success of the harvest, such as temperature, air pressure, air humidity, sunlight, soil moisture, rainfall. With so much data that can be collected and analyzed, it is expected to create an early warning system if there are parameters that are already in the critical value and are at risk of causing crop failure. As information technology is developing rapidly, it could be utilized as a tool to support the effort in facing this issue. this study will focus on providing a reliable open data platform which is accessible to relevant stakeholders Google Cloud Platform is selected to serve this purpose to mitigate the risk of maintaining a reliable high availability platform. Google Cloud IoT Core is configured to accept MQTT protocol message sent by sensors. Other google cloud functionality will be configured to store the message into google NoSQL database. Google cloud function will be used to provide data if any request of data to server is being made through REST webservice call. As a result, all the configured Google functionalities are able to synchronize to store and retrieve data.
机译:如今,农业涉及许多因素来支持收成的成功,例如温度,气压,空气湿度,阳光,土壤湿度,降雨。有了可以收集和分析的大量数据,如果存在已经达到临界值并有可能导致农作物歉收的参数,则有望创建一个预警系统。随着信息技术的迅速发展,它可以用作支持面对这一问题的努力的工具。这项研究将着重于提供一个可靠的开放数据平台,相关利益相关者可以访问它。选择Google Cloud Platform来达到此目的,以减轻维护可靠的高可用性平台的风险。 Google Cloud IoT Core已配置为接受传感器发送的MQTT协议消息。其他谷歌云功能将被配置为将消息存储到谷歌NoSQL数据库中。如果通过REST Web服务调用向服务器发送了任何数据请求,则将使用Google云功能来提供数据。结果,所有已配置的Google功能都可以同步以存储和检索数据。

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