IoT Based Fish Pond Monitoring System to Enhance Its Productivity

S. M. R. Kumar, Thayyaba Khatoon Mohammed, S. Rao, Dinesh Anton Raja P, Ruhi Bakhare, Ashok Kumar, Swagata B. Sarkar
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引用次数: 2

Abstract

Modernizing fish ponds for agricultural production face major challenges in terms of capital expenditure and operational expenses. Fish farming of particular types of fish species necessitates the fulfilment of several requirements because, like several other living organisms, fish have a precise limit for an assortment of environmental criteria. For the good health and development of the organisms, big farms typically have certain kinds of water surveillance and replacement mechanization systems. To preserve the ecosystems for living fish, the people who work in the fish farming ponds must be active throughout the day. Local farmers who operate on relatively small ponds couldn't afford to compensate employees to manage daily tasks, which typically include keeping an eye on water levels, temperature, and pH levels. As a result, the prime motive for this paper is to monitor and take steps to keep the habitat's eco-friendly environment for specific species of fish, which will decrease the time required for some basic actions. This article puts forth a smart Internet of Things (IoT) based fish pond water monitoring system. Such a smart system consists of several real-time sensors that monitor and send inputs to a microcontroller and the data is stored in a real-time database. The user can track these values through a phone app that is assimilated with the cloud by having them transmitted to the cloud at periodic intervals and this helps the fish pond owners to take required action quickly and effectively when needed. As embedding devices are typically made up of an Arduino board, internet and relay frames, and a computer interface, a farmer could easily source these parts. With the help of this integration system, farmers can reduce operating costs and boost overall effectiveness by avoiding the need to hire employees for their location.
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基于物联网的鱼塘监测系统,提高其生产力
在资本支出和运营费用方面,为农业生产现代化鱼塘面临重大挑战。特定种类的鱼类养殖需要满足一些要求,因为像其他几种生物一样,鱼类对各种环境标准有精确的限制。为了生物的健康和发育,大农场通常有一定种类的水监测和替代机械化系统。为了保护活鱼的生态系统,在养鱼池工作的人必须整天都很活跃。在相对较小的池塘上经营的当地农民无法支付员工管理日常工作的费用,这些日常工作通常包括密切关注水位、温度和pH值。因此,本文的主要动机是监测并采取措施保持栖息地对特定鱼类的生态友好环境,这将减少一些基本行动所需的时间。本文提出了一种基于智能物联网(IoT)的鱼塘水质监测系统。这样的智能系统由几个实时传感器组成,这些传感器监控并向微控制器发送输入,数据存储在实时数据库中。用户可以通过一个手机应用程序跟踪这些值,该应用程序通过定期将这些值传输到云上,这有助于鱼塘所有者在需要时快速有效地采取所需的行动。由于嵌入式设备通常由Arduino板、互联网和中继帧以及计算机接口组成,农民可以很容易地获得这些部件。在这一整合系统的帮助下,农民可以降低运营成本,提高整体效率,因为他们不需要为自己的所在地雇佣员工。
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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