Research on Recognition Method of Common Corn Diseases Based on Computer Vision

In recent years, due to climate warming, changes in agricultural ecological environment and changes in planting structure, farming system, planting varieties, production methods and production conditions, the living and epidemic conditions of some pests or media insects have also changed, creating an ecological environment suitable for the accumulation of harmful organisms, and the occurrence of corn diseases is increasing year by year. Aiming at common diseases and insect pests, gray spot and brown spot of corn, the recognition model of gray spot and brown spot of corn is established by using computer vision technology and support vector machine, and the generalization ability of the model is tested. The simulation results show that the model can effectively identify gray spot and brown spot of corn, and the correct rate of disease recognition reaches 86.1%, which can be used as a precondition for corn diseases and insect pests, and provides a certain technical reference and has a good practical application value.