Review on architectures of aquaponic systems based on the Internet of Things and artificial intelligence: Comparative study.

Khaoula Taji, Rachida Ait Abdelouahid, Ibtissame Ezzahoui, A. Marzak
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引用次数: 4

Abstract

The aquaponics system is an agricultural production technique that combines aquaculture with hydroponics and reduces the environmental impact by reducing the need for water and nutrients. New technologies such as the Internet of Things and artificial intelligence can be an efficient and reliable application for this purpose. They can help to implement this system in urban areas and to produce organic food. The main objective of this article is to present a comparative study between different existing aquaponic architectures according to different factors such as Security, Interoperability, Renewable energy usability, Cost, and so one, and various technologies used based on Internet of Things and artificial intelligence approaches such as sensors, actuators, gateway, communication technology, storage system, user interface etc., as well as the advantages and limitations of each proposed solution. This paper is an opening towards a new contribution that will be based on an interoperable, secure, scalable, low-cost, fully self-powered, flexible, reliable, intelligent and generic IoT architecture that meets the requirements of aquaponics. This new contribution will also make it possible to optimize the critical parameters in aquaponics, namely water quality, pH, air temperature, humidity, CO2, etc., and predict the state of the system's health to improve its productivity, thanks to artificial intelligence.
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基于物联网和人工智能的鱼菜共生系统架构综述:比较研究。
水培系统是一种将水产养殖与水培相结合的农业生产技术,通过减少对水和养分的需求来减少对环境的影响。物联网和人工智能等新技术可以成为实现这一目标的高效可靠的应用。他们可以帮助在城市地区实施这一系统并生产有机食品。本文的主要目的是根据不同的因素,如安全性、互操作性、可再生能源可用性、成本等,对现有的不同鱼菜共生体系结构和基于物联网和人工智能方法的各种技术,如传感器、执行器、网关、通信技术、存储系统、用户界面等进行比较研究,以及每种提出的解决方案的优势和局限性。这篇论文是一个新的贡献的开端,它将基于一个可互操作、安全、可扩展、低成本、完全自供电、灵活、可靠、智能和通用的物联网架构,满足鱼菜共生的要求。这一新的贡献还将使优化鱼菜共生的关键参数成为可能,即水质、pH值、空气温度、湿度、二氧化碳等,并预测系统的健康状态,以提高其生产力,这要归功于人工智能。
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