观赏鱼智能护理系统

Shehani Fernando, Nethmi Jayaweera, Sandini Pitawala, R. Kaushalya, Pasangi Ratnayake, S. Siriwardana
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引用次数: 0

摘要

观赏鱼产业仍然是世界上增长最快的行业之一。水族馆的健康鱼类生产需要精心护理,并确保鱼缸内稳定和最佳的生产环境,这是一项具有挑战性的任务。不幸的是,由于渔业的限制,发育良好的健康鱼类的生产力急剧下降。水族工作者的技能和知识有限,这是一项具有挑战性的任务,导致对某些因素的预测不准确,例如定量和估计时间、鱼食的数量和种类,以及在适当的时间间隔维修过滤器。现有的水族馆取决于水族馆管理员的经验和可用性,这在现实生活中可能是一个具有挑战性的过程。建立一个制度来规范这些重大问题是一个突出的解决办法。这项研究是为了提出一种自动化的方法,在几个水族馆和现有的研究论文的帮助下,遇到上述影响水族和其他利益相关者的主要问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Caring System for Ornamental Fish
Ornamental Fish Industry continues to be one of the fastest growing sectors worldwide. Healthy fish production at aquariums requires intensive care and ensures a stable and an optimum production environment inside the fish tanks, which is a challenging task. Unfortunately, due to the limitations in fish industry, productivity of well-developed, healthy fish has drastically depreciated. Limited skills and knowledge of aquarists have been a challenging task which has led to inaccurate predictions on certain factors such as quantification and length of estimation, amounts and types of fish food and servicing the filters at proper time intervals. Existing aquariums depend on the experience and availability of the aquarists, which can be a challenging process in real life. Developing a system to regulate these major concerns is a prominent solution. This research is done to propose an automated method, with the help of several fish aquariums and existing research papers, to encounter the mentioned major concerns which affects the aquarists and other stakeholders.
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