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  • 标题:REAL-TIME DISSOLVED OXYGEN MONITORING BASED ON THE INTERNET OF SMART FARMING PLATFORM
  • 本地全文:下载
  • 作者:WASANA BOONSONG ; OLUSEYE ADELEKE ; JUTHAMAS JANTHOTHAI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2020
  • 卷号:98
  • 期号:19
  • 页码:3183-3192
  • 出版社:Journal of Theoretical and Applied
  • 摘要: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**.
  • 关键词:Iot;Dissolved Oxygen;Pearson Correlation
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