An Internet of Things (IoT)-based aquaponics facility

Shiny Abraham, Arman Shahbazian, Kevin Dao, Han Tran, P. Thompson
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引用次数: 6

Abstract

Aquaponics, also known as the integration of hydroponics with aquaculture, has emerged to be a successful model of sustainable food production. The symbiotic relationship between fish, plants, and bacteria, in a controlled environment, is contingent upon optimal water quality conditions. This calls for a need to develop continuous water-quality monitoring techniques that are based on intelligent data acquisition, communication, and processing. This work focuses on using Internet of Things (IoT) technology to configure and deploy smart water-quality sensors that provide remote, continuous, and real-time information of indicators related to water quality, on a graphical user interface (GUI). A sensing system comprising of a Raspberry Pi and commercial sensor circuits 1 and probes that measure Dissolved Oxygen (DO), pH, and water temperature was deployed in an aquaponics facility in a town called Manchay, near Lima, Peru2. Data acquired from the sensor system is uploaded to ThingSpeak 3, an IoT analytics platform service that provides real-time data visualization and analysis. Continuous monitoring of this data, and making necessary adjustments, will facilitate the maintenance of a healthy ecosystem that is conducive to the growth of fish and plants, while utilizing about 90% less water than traditional farming.
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基于物联网(IoT)的鱼菜共生设施
水培,也被称为水培与水产养殖的结合,已经成为可持续粮食生产的成功模式。在受控环境中,鱼、植物和细菌之间的共生关系取决于最佳水质条件。这就需要开发基于智能数据采集、通信和处理的连续水质监测技术。这项工作的重点是利用物联网(IoT)技术配置和部署智能水质传感器,在图形用户界面(GUI)上提供与水质相关指标的远程、连续和实时信息。一个传感系统由树莓派和商业传感器电路以及测量溶解氧(DO)、pH值和水温的探头组成,部署在秘鲁利马附近Manchay镇的一个水产共生设施中。从传感器系统获取的数据被上传到ThingSpeak 3,这是一种物联网分析平台服务,提供实时数据可视化和分析。对这些数据进行持续监测并进行必要的调整,将有助于维持有利于鱼类和植物生长的健康生态系统,同时比传统农业节水约90%。
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