Research And Implementation Of Intelligent Insect Forecasting System

As one of the important tree species in China,poplar is widely used in wood,shelter forests,and greening,and has also played an important role in wind and sand fixation,greening the environment,and improving farmland.At present,Qingdao’s pest situation forecasting work is mainly based on manual forecasting.This kind of manual forecasting cannot predict the main pests of poplars in real time and anytime.Therefore,this paper takes poplar disease and pest control as the application background,and uses artificial intelligence and information technology research to implement an intelligent pest monitoring and reporting system.This system can effectively assist forecasters in early detection,identification,and control of pests,thereby improving the quality of poplar To meet growing demand.The main content of the paper is as follows:(1)Research and implementation of intelligent insect situation forecasting system.Based on the application background of poplar diseases and insect pests control,an intelligent pest condition forecasting system was researched and implemented.The system includes pest information,pest identification,and background management functions of the system.Through the implementation of system functions,the work efficiency of agricultural plant protection personnel and farmers is effectively improved.At the same time,pest identification is used to accurately and timely conduct pests.Identification and prevention.(2)Construction of a pest image dataset.Including acquisition and preprocessing of pest image data.Pests were collected at the Tianzhuang Town Observation Site,Jinhua Mountain Observation Site,Jimo Mountain Observation Site,Jimo District,Qingdao Agricultural City Observation Site,and the Agricultural and Agricultural Base Observation Site using intelligent pest-prediction lamps to manually classify pests based on their appearance and habits After preprocessing,a pest image data set is constructed.(3)Analysis and construction of pest image recognition model.Deep learning is well applied in image recognition,so the image recognition model selected in this paper is a Convolutional Neural Network(CNN).The constructed pest image recognition model can well realize the recognition of pest images on mobile phones,and the effect is good.