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首页> 外文期刊>Journal of Theoretical and Applied Information Technology >REAL-TIME DISSOLVED OXYGEN MONITORING BASED ON THE INTERNET OF SMART FARMING PLATFORM
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REAL-TIME DISSOLVED OXYGEN MONITORING BASED ON THE INTERNET OF SMART FARMING PLATFORM

机译:基于智能农业平台互联网的实时溶解氧气监测

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The Internet of Things (IoT) has not only become a part of human life, it has become a tool being made important, especially in the 21st century for generating revenue and strengthening communities? economies. Smart farming on the other hand, is a management concept that is aimed at providing the agricultural industry with a system or infrastructure to leverage on advanced technology such as the cloud, IoT and even big data ? for tracking, automating and monitoring operations. This study focus is on using the IoT on a smart farming platform for dissolved oxygen monitoring for aquaculture in the Songkhla Lake Basin, South of Thailand. We propose the fundamentals of real-time dissolved oxygen (DO) monitoring based on the internet of smart farming platform, in which the parameters studied are DO and water temperature (TEMP). The system is built to automatically detect data from the aquaculture pond or natural water sources, after which the data detected is sent to the host computer and/or user smart phone through the Wi-Fi cloud service network. The data collected for the DO and TEMP show that the relationship of both parameters are negatively related. In other words, when the water temperature rises, the DO value decreases accordingly and vice versa. The results were analyzed by the Pearson correlation statistical program at 99 percent confidence of -.732**.
机译:事情互联网(物联网)不仅成为人类生活的一部分,它已成为一个重要的工具,特别是在21世纪产生收入和加强社区?经济。另一方面,智能养殖是一个管理理念,旨在为农业产业提供系统或基础设施,以利用云,物联网等大数据等先进技术?用于跟踪,自动化和监控操作。本研究重点是在泰国南部的Songkhla湖盆地中的水产养殖溶解氧气监测的智能农业平台上。我们提出了基于智能农业平台互联网的实时溶解氧(DO)监测的基本原理,其中研究的参数是做和水温(温度)。构建系统以自动检测来自水产养殖池或天然水源的数据,之后检测到的数据通过Wi-Fi云服务网络发送到主计算机和/或用户智能手机。为DO和TEMP收集的数据表明,两个参数的关系都是否定的。换句话说,当水温上升时,DO值相应地减小,反之亦然。 Pearson相关统计计划分析了结果,达到了99%的置信度-732 **。

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