Design And Realization Of Automatic Monitoring System For Conogethes Punctiferalis(Guenée)

Traditional pest monitoring mainly relies on manual monitoring,which costs a lot of labor force and material resources and sometime is low efficiency.In recent years,with the rapid development of the Internet of Things technology,a number of automatic monitoring devices have emerged,mainly using infrared automatic monitoring technology.But due to design defects,the insect bodies only are recognized and the number of insect pests was counted by single-sided photographs,resulting in the miscalculations and omissions of the data.So the monitoring results were inaccurate and unconvincing.In order to solve these problems,an intelligent two-way and double-beat forecasting lamp for the yellow peach borer(Conogethes punctiferalis),an important agricultural pest damaged corn,peach and other crops,was designed,and an automatic monitoring system for yellow peach borer was also constructed.In the aspect of data processing,the neural network recognition model was mainly used to identify and analyze the high-definition images of the insects collected in both directions,and the number of yellow peach borers in the images was obtained,and the data of the occurrence dynamic summarized and combined with the small-scale meteorological data(such as temperature,humidity and rainfall)were analyzed to achieve accurate monitoring and early warning of the pest,thus guiding the timely use of insecticides,controlling the pest before economic injury levels,reducing the use of pesticides in large quantities,increasing crop yields and quality,and ensuring the green production of crops.The construction of the system also provides a technical reference for the automatic and accurate monitoring of insect pests in the future.The automatic monitoring and early warning system for the yellow peach borer corrected the inaccuracy of the traditional automatic monitoring equipment by using the positive and negative image of the yellow peach borer from the improved lamp,and quickly and efficiently analyzed the occurrence dynamics of the pest,and achieved automatic monitoring and prediction of the yellow peach borer combined with meteorological factors.The system also provides a reference for the application of automatic and accurate monitoring technique of other insect pests.