现代信息科技2024，Vol.8Issue(7)：55-58,4.DOI:10.19850/j.cnki.2096-4706.2024.07.013
基于树莓派和深度学习的茶叶病虫害识别系统
Tea Disease and Pest Recognition System Based on Raspberry Pi and Deep Learning
摘要
Abstract
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.关键词
树莓派/深度学习/病虫害识别Key words
Raspberry Pi/Deep Learning/recognition of tea disease and pest分类
信息技术与安全科学引用本文复制引用
吴鹏,刘金兰..基于树莓派和深度学习的茶叶病虫害识别系统[J].现代信息科技,2024,8(7):55-58,4.基金项目
信阳农林学院青年教师科研基金资助项目(QN2021058) （QN2021058）
河南省科技攻关项目(222102210300) （222102210300）
