| With the continuous development and research of agricultural informatization and digitization,the agricultural production mode with big data,networking and artificial intelligence has become the development trend of agriculture.Based on the research and application of the current agricultural development trend and the monitoring of agricultural microclimate data,a kind of intelligent monitoring system for agricultural microclimate was designed and implemented based on the technology of Internet of things and embedded technology.The system is made of data acquisition instrument and back-end intelligent software.The data acquisition instrument is powered by solar power system,embedded μC/OS-II real-time operating system,to collect the temperature of air and soil,humidity,light intensity,wind speed and wind direction of agricultural climate data,and the file allocation table file system is used for storing local data.The agricultural microclimate data is uploaded to back-end intelligent software by GPRS.The data collected by the data acquisition instrument is received by the back-end intelligent software and stored in the SQLite database,which achieves the data query,display,analysis and export.In addition,time series neural network is used for intelligent predicting agricultural climate data,in order to ensure the accuracy and reliability of agricultural microclimate data stored in the database. |