IoT and Computer Vision Based Aquaponics System

Nazib Ahmad, M. Hasan, Mhamudur Rohomun, Raihana Irin, R. Rahman
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Abstract

A farming method known as aquaponics aims to be a more effective response to the world's worries about food production and scarcity. In order to produce plants or vegetables in addition to fish to meet the rising global demand for food, this technique combines aquaculture (fish farming) and aquaponics (plants grown without soil). This technique or system promises to utilize less water, fertilizer, pesticides, and space while yet producing as much as conventional farming. The challenge is making it more usable and scalable for commercial and public use. To overcome such challenges, this technique must be intelligent and automated by rigorous sensing, monitoring, and system control. Our current research aims to develop a practical smart IoT-based aquaponics system. It offers a workable solution and ideas for further investigation while also looking for gaps in the earlier investigations.
基于物联网和计算机视觉的鱼菜共生系统
一种被称为鱼菜共生的耕作方法旨在更有效地应对世界对粮食生产和短缺的担忧。为了生产除鱼类以外的植物或蔬菜,以满足日益增长的全球粮食需求,这种技术结合了水产养殖(养鱼)和水培(无土种植的植物)。这种技术或系统承诺使用更少的水、肥料、农药和空间,但产量却和传统农业一样多。面临的挑战是使其更易于使用和扩展,以供商业和公共使用。为了克服这些挑战,这项技术必须通过严格的传感、监测和系统控制来实现智能化和自动化。我们目前的研究目标是开发一种实用的基于物联网的智能鱼菜共生系统。它为进一步调查提供了可行的解决方案和思路,同时也在寻找早期调查中的空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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