基于物联网技术的智慧农业大棚动态监测与决策系统

Intelligent Agricultural Greenhouse Dynamic Monitoring and Decision-Making System Based on Internet of Things Technology

本文运用多传感器设备、视频实时监控技术、Labview、Python等构建了基于物联网技术的智慧农业大棚动态监测与决策系统。系统通过接收大棚内传感器的数据,实时获取大棚内的空气温湿度、土壤温湿度、土壤酸碱度、光照强度、CO_(2)浓度等数据,并在网页端实现对草莓大棚的温度、pH值、土壤湿度等数据的实时检测和报警,进而提出优化方案。后台Python端可对草莓大棚的数据进行智能分析,并精准预测产量以及提供最优的草莓种植方案。该系统对农作物生长过程精准化、智能化管理,提高农业生产效率具有重要的应用价值。

This article uses multi-sensor equipment,video real-time monitoring technology,Labview,Python,etc.to build a smart agricultural greenhouse dynamic monitoring and decision-making system based on the Internet of Things technology.The system monitors the air temperature and humidity,soil temperature and humidity,soil pH,light intensity,carbon dioxide concentration and other parameters in the greenhouse in real time by receiving data from multiple sensors in the greenhouse,and realizes the temperature and pH value of the strawberry greenhouse on the hardware equipment and web page.,soil moisture and other real-time data detection and alarm,and propose opti⁃mization schemes.The background python terminal can intelligently analyze the data of strawberry greenhouses and accurately predict the output and provide data standards for the optimal strawberry planting plan.This system has im⁃portant application value for the precise and intelligent management of the crop growth process and the improvement of agricultural production efficiency.