基于树莓派和深度学习的茶叶病虫害识别系统OA

In order to address the issues of low recognition efficiency and high labor costs associated with traditional methods for identifying tea diseases and pests,a tea disease and pest recognition system based on Raspberry Pi and Deep Learning is proposed.This method combines the convenience of Raspberry Pi with the powerful feature extraction capabilities of Deep Learning,successfully overcoming the limitation of traditional methods and achieving efficient and accurate recognition of tea diseases and pests.The results show that the system can identify three common tea pests and diseases with a recognition rate of over 90%,providing an efficient and feasible solution for accurate identification of tea diseases and pests.