摘要
随着全球农业生产面临的压力不断增大,利用物联网技术提高农业管理效率成为重要课题。设计并实现一种基于远距离无线电(Long Range Radio,LoRa)通信技术的农业监测系统,通过部署传感器节点,实时监测农田环境。系统利用LoRa网络进行低功耗、长距离的数据传输,并采用随机森林算法对采集的数据进行分类分析。在江苏省农业试验基地的实地测试中,系统表现出高度的稳定性和准确性,有效满足了智能农业的管理需求。
With the increasing pressure on global agricultural production,using internet of things technology to improve agricultural management efficiency has become an important issue.This article designs and implements an agricultural monitoring system based on Long Range Radio(LoRa)communication technology,which achieves real-time monitoring of farmland environment by deploying sensor nodes.The system utilizes LoRa network for low-power and long-distance data transmission,and uses random forest algorithm to classify and analyze the collected data.In the field testing of the agricultural experimental base in Jiangsu province,the system demonstrated high stability and accuracy,effectively supporting the management needs of intelligent agriculture.
作者
郭宗辉
GUO Zonghui(Shandong College of ELectronic Technology,Jinan 250200,China)
出处
《智能物联技术》
2024年第5期72-75,共4页
Technology of Io T& AI
关键词
农业监测系统
传感器节点
随机森林算法
agricultural monitoring system
sensor nodes
random forest algorithm
