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Hommons: Hydroponic management and monitoring system for an IOT based NFT farm using web technology

机译:Hommons:基于Web的基于IOT的NFT农场的水培管理和监视系统

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The significant decrease in agricultural land and the rapid development of hydroponic system technology such as Nutrient Film Technique (NFT), have brought huge challenge to farmers. This hydroponic system requires special attention to several parameters such as the water temperature, water level, acidity (pH), and the concentration of the nutrient (EC/PPM). We first monitor and collect information from NFT Hydroponic farmer and then systematically evaluate and analyze them. Unfortunately, it is still controlled by using the conventional way (human), for example in controlling the concentrations of nutrient has to be done at least once a day, so much time is wasted. In addressing these issues, we need a system that can be applied and used easily. We built a hydroponic monitoring and automation system that can monitored using sensors connected to the Arduino Uno microcontrollerm, Wi-Fi module ESP8266 and Raspberry Pi 2 Model B microcomputers as the webserver with the concept Internet of Things, in which each block hydroponic farming can communicate with the webserver (broker). Web used as the interface of the system that allows user to monitor and control the NFT hydroponic farming. The NFT hydroponic web interface management systems using a responsive web framework, such as Bootstrap for the front-end, JQuery and JavaScript libraries. The result shows that this system helps farmers to increase the effectivity and efficiency on monitoring and controlling NFT Hydroponic Farm.
机译:农业用地的显着减少和水培系统技术(如营养膜技术(NFT))的迅速发展,给农民带来了巨大的挑战。这种水耕系统需要特别注意几个参数,例如水温,水位,酸度(pH)和营养物浓度(EC / PPM)。我们首先监视和收集NFT水培农民的信息,然后系统地对其进行评估和分析。不幸的是,它仍然通过使用常规方式(人)来控制,例如在控制营养物浓度方面必须至少每天进行一次,这样浪费了很多时间。为了解决这些问题,我们需要一个易于应用和使用的系统。我们构建了一个水培监测和自动化系统,该系统可以使用连接到Arduino Uno微控制器,Wi-Fi模块ESP8266和Raspberry Pi 2 B型微计算机的传感器作为物联网概念的网络服务器进行监测,每个区块的水培耕作都可以通信与网络服务器(经纪人)。 Web用作系统的界面,允许用户监视和控制NFT水耕农业。使用响应式Web框架的NFT水培Web界面管理系统,例如前端的Bootstrap,JQuery和JavaScript库。结果表明,该系统可以帮助农民提高对NFT水培农场的监控效率和效率。

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