Research On The Irrigation Decision System Of Winter Wheat Based On Information Fusion

At present,farmland irrigation is mainly based on the experience of farmers,and the lack of scientific irrigation decisions can easily lead to the reduction of winter wheat production and quality.As one of the main crops in Henan,improving the utilization rate of winter wheat irrigation water is crucial for the development of water-saving agriculture in Henan.Indicators for monitoring and forecasting cannot guide irrigation comprehensively and scientifically.Therefore,this study takes winter wheat in Xinxiang,Henan Province as the research object,comprehensively considers the influence of weather,crop growth status,soil moisture and other factors,introduces information fusion and data prediction related algorithms into the field of irrigation decision-making,builds the winter wheat irrigation Decision model based on information fusion,and designs the corresponding irrigation decision-making system.The main work of this article is as follows:(1)Determine the decision-making indexes of the irrigation Decision model.Collect and preprocess historical data,field measured data and weather forecast data,study the changes in key indicators that affect irrigation decision-making,use Pearson correlation coefficient method to analyze the correlation of influencing factors from different sources,and select influencing factors with a correlation coefficient of0.4 or above as model decision-making indicators.(2)Construct a winter wheat irrigation decision model based on information fusion.The D-S evidence theory was used to integrate the three core indexes of surface soil water content,winter wheat water stress index and evapotranspiration;The decision-making layer conducts model training and learning on the training sample data through the deep neural network,and updates and verifies the model using the verification sample data.The accuracy of the irrigation Decision model is 95.24%,the accuracy rate is 96%,the recall rate is 92%,and the relative error is 0.07.Through the model comparative analysis of the three index decision and multi-index decision results and irrigation water consumption,,the results show that the overall evaluation results of the winter wheat irrigation Decision model based on information fusion established in this paper are good.(3)Design an irrigation decision-making system.Combined the requirements of the irrigation Decision model,the hardware equipment is screened,and the data acquisition and irrigation control modules are designed.Analyze and verify the workflow of the system platform,establish a backend database,design and implement various functional modules of the system platform.Through testing,the irrigation decision-making system has met the expected design requirements.By comprehensively considering the influence of weather,crop itself,soil moisture and other factors,this study establishes an irrigation decision-making model for winter wheat based on information fusion,designs an irrigation decision-making system,and provides reference for water-saving irrigation and agricultural modernization,which has certain practical significance.