Research On Collection And Processing Of The Modern Agriculture Basic Information Based On LabVIEW

With information processing software and intelligent control technology have become more and more widely used in agricultural technology.This paper focuses on the information collection and intelligent control in agricultural irrigation.Through the HYDRUS-1D soil model simulation,the complexity of the soil moisture infiltration and the fuzzy control of membership adjustment and BP brought about by the lag time are solved.The problem of neural network parameter training.Firstly,this paper constructs a single-bus controlled air temperature and humidity sensor based on STM32F103 as the controller,data of light intensity sensor to be converted by AD,and the programming and data reading of soil temperature and humidity sensor using RS485 communication method.Meanwhile using the ZigBee networking protocol,the data was completed,which have the 16 information collection unit nodes.Through the GPRS network and RS232 communication,the entire information acquisition to the host computer's information transmission process was completed.Then,a HYDRUS-1D soil simulation model was established based on the Richards equation and the Van Genuchten model,and obtain original simulation data.Using the data,the fuzzy control membership function adjustment and BP neural network parameter training were quickly completed.The results show that: Compared to using the test method,this method improves the efficiency of obtaining a set of data by an average of 13.4 times;In the validation of simulation results,The comparison the amount of water poured into the soil,between the simulated value and the fuzzy control output value shows that the error is within 3%;the predicted value of the neural network is also similar to the simulated value,and the correlation coefficient reaches 0.98579.Finally,the information processing and display system based on LabVIEW is established,tested to verify the above-described fuzzy control and irrigation water BP neural network analysis.The results show that the use of fuzzy control and BP neural network to predict the amount of irrigation water,the error is less than 6.5%,the result is reasonable,can be used to guide agricultural production,has a certain practical value.