基于IoT和神经网络的智能灌溉抽水控制系统
IoT and Neural Network-Based Water Pumping Control System For Smart Irrigation
摘要：
本文旨在利用基于传感器和多层感知器神经网络的物联网技术来节约灌溉过程中的废水。所开发的系统使用Arduino板处理传感器数据以自动控制水泵。传感器测量环境因素，即温度、湿度和土壤湿度，以估计灌溉操作所需的时间。水泵控制系统由软件和硬件工具组成，如Arduino Remote XY接口和物联网技术框架内的电子传感器。MLP神经网络等机器学习算法在支持基于物联网的灌溉系统自动控制决策、有效管理用水量方面发挥着重要作用。
英文摘要：
This article aims at saving the wasted water in the process of irrigation using the Internet of Things (IoT) based on a set of sensors and Multi-Layer Perceptron (MLP) neural network. The developed system handles the sensor data using the Arduino board to control the water pump automatically. The sensors measure the environmental factors; namely temperature, humidity, and soil moisture to estimate the required time for the operation of water irrigation. The water pump control system consists of software and hardware tools such as Arduino Remote XY interface and electronic sensors in the framework of IoT technology. The machine learning algorithm such as the MLP neural network plays an important role to support the decision of automatic control of IoT-based irrigation system, managing the water consumption effectively.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
