论文标题
物联网和基于神经网络的水泵控制系统用于智能灌溉
IoT and Neural Network-Based Water Pumping Control System For Smart Irrigation
论文作者
论文摘要
本文旨在根据一组传感器和多层感知器（MLP）神经网络在灌溉过程中保存浪费的水。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，湿度和土壤水分，以估计水灌溉运行所需的时间。水泵控制系统由软件和硬件工具组成，例如物联网技术框架中的Arduino远程XY接口和电子传感器。 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，有效地管理水消耗的决策方面起着重要作用。
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.
