Study On Intelligent Agriculture Greenhouses Based On ZigBee Internet Of Things Technology

Under the traditional planting mode,crop growth is easily affected by natural weather and other factors,resulting in high planting cost and low benefit for farmers.In view of the above problems,intelligent control of crop growth in smart agricultural greenhouses is realized,and a set of smart agricultural greenhouses intelligent system is designed by using ZigBee communication technology.The main research work is as follows:1)Hardware and software design of upper computer and lower computer of greenhouse system is completed,including the functional design of all kinds of sensor nodes in field data acquisition module of the sensing layer,design of the data transmission module,field monitoring module and the warning module of the transport layer,and design of the intelligent control module of the decision-making platform system of the application layer.2)Aiming at the coupling effect of various fuzzy environmental parameters in the process of crop growth.The control system based on Mamdani fuzzy control theory is studied.Control strategies are obtained by analyzing various parameters in the greenhouses,and environmental parameters in the greenhouses of intelligent agriculture are set artificially to ensure the healthy growth of crops.3)Aiming at the problem of saving irrigation water,an intelligent irrigation management system is designed.Taking daily soil water difference as a unit,after two weeks' simulation result of prediction data,it is shows that compared with the traditional HS algorithm,prediction result of SVR+k-means clustering planning prediction algorithm has better fitting degree,less fluctuation and higher accuracy with the actual measurement results.Finally,result shows that the SVR+k-means planning and forecasting algorithm enables users to get reasonable irrigation Suggestions according to the quantified result and achieve the purpose of water conservation.Figure 35;Table 3;Reference 49...