Establishment Of Monitoring And Forecasting Model Of Laodelphax Striatellus In The Wheat Field Based On R Program

In recent years,big data gradually into our lives,in all sectors of the application are involved.And agriculture as a basic industry and big data combination,making the development of modern agriculture into new areas.The combination of plant protection and big data is an important part of agricultural big data.Using the long-term field survey data and meteorological data,selecting the corresponding data analysis algorithm and using the specific data analysis platform to carry out the operation,analyze the results and forecast,is a basic process of agricultural data.As a common food pest in China,Laodelphax striatellus is widely distributed in various regions of China,including Shandong Province.Since the outbreak in 2008,it has become the main hazard insect in Shandong province.The food security poses a great threat.Therefore,it is urgent to establish a model for the monitoring and forecasting of Laodelphax striatellus in Shandong area,to explore the influencing factors of the main factors of its outbreak and to predict the occurrence of Laodelphax striatellus in the future,so as to realize the early warning of the outbreak of Laodelphax striatellus,In advance to prevent and control measures to reduce the extent of its harm to food crops.A total of 71 field data from 2008 to 2016 were compiled using R-based and Rstudio-based random forest algorithm.The data were analyzed for the data of the occurrence of Laodelphax striatellus,and the cumulative 30 days The average meteorological factors were measured,and the main meteorological factors affecting the occurrence of Laodelphax striatellus were determined by using the three kinds of meteorological factors as the independent variables,and the degree of occurrence of Laodelphax striatellus in Jining area as the dependent variable,So as to predict the occurrence degree of Laodelphax striatellus.The results showed that the meteorological factors,which had the main effect on the occurrence of Laodelphax striatellus in Jining area,were "cumulative 60 days average maximum wind speed" and "cumulative maximum daily wind speed of 90 days",and the meteorological factors with certain influence were 60 days average precipitation "and" accumulated 30 days average precipitation ".The correctness rate of the model is 88.89%,and the correctness of the model is 88.24% by using the test data,the prediction accuracy of the random forest monitoring and forecasting model is high and scientific and practicable.Can be used for practical monitoring and early warning,for the Jining and even Shandong area of the plant protection work to provide a reference.