Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju 61186, Republic of Korea.
Sensors (Basel). 2024 Jan 28;24(3):852. doi: 10.3390/s24030852.
This study is related to Smart Aqua Farm, which combines artificial intelligence (AI) and Internet of things (IoT) technology. This study aimed to monitor fish growth in indoor aquaculture while automatically measuring the average size and area in real time. Automatic fish size measurement technology is one of the essential elements for unmanned aquaculture. Under the condition of labor shortage, operators have much fatigue because they use a primitive method that samples the size and weight of fish just before fish shipment and measures them directly by humans. When this kind of process is automated, the operator's fatigue can be significantly reduced. Above all, after measuring the fish growth, predicting the final fish shipment date is possible by estimating how much feed and time are required until the fish becomes the desired size. In this study, a video camera and a developed light-emitting grid panel were installed in indoor aquaculture to acquire images of fish, and the size measurement of a mock-up fish was implemented using the proposed method.
本研究与智能水产养殖农场有关，它结合了人工智能（AI）和物联网（IoT）技术。本研究旨在监测室内水产养殖中的鱼类生长情况，同时实时自动测量平均大小和面积。自动鱼类尺寸测量技术是无人水产养殖的基本要素之一。在劳动力短缺的情况下，由于操作人员使用原始方法，即在鱼类运输前抽样测量鱼类的大小和重量，并直接由人工测量，因此操作人员会感到非常疲劳。当这个过程自动化后，操作人员的疲劳感会明显降低。最重要的是，在测量完鱼类的生长情况后，可以通过估计鱼类达到理想大小所需的饲料和时间来预测最终的鱼类运输日期。在本研究中，在室内水产养殖中安装了摄像头和开发的发光网格面板，以获取鱼类图像，并使用提出的方法对模拟鱼进行了尺寸测量。
