This article envisages a new flanged technique for monitoring the aquaculture. Since a new conservative method is needed for monitoring the feed of fish, this article introduces an Internet of Things (IoT)‐based system with integration of improved decision machine learning algorithm (IDMLA). The advancement in system on chip technologies has been emerging as a platform for monitoring the important parameters like quality of water, range, velocity and flow of water pumps. All the parameters if monitored correctly will increase the lifetime of fish. Therefore, a sensor‐based technology has been used for monitoring the necessary parameters which is easily connected in low cost. The IDMLA has been tested with the information in database system by using an online monitoring system, and the results are plotted using MATLAB where the efficiency of IDMLA is more efficient when compared with other techniques.

中文翻译：

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使用基于传感器的技术和机器学习算法检查水产养殖的效果

本文设想了一种用于监测水产养殖的新法兰技术。由于需要一种新的保守方法来监控鱼的饲料，因此本文介绍了一种基于物联网（IoT）的系统，该系统集成了改进的决策机器学习算法（IDMLA）。片上系统技术的进步已经成为监测重要参数（如水质，水位，速度和水泵流量）的平台。如果正确监控所有参数，将延长鱼类的寿命。因此，基于传感器的技术已用于监视必要的参数，这些参数很容易以低成本连接。IDMLA已通过在线监控系统与数据库系统中的信息一起进行了测试，