基于深度学习的园林植物病虫害智能识别系统  

Intelligent Diseases and Insect Pests Identification System for Garden Plant Based on Deep Learning

作　　者：何怀文[1] 蔡显华 杨毅红[1] He Huaiwen;Cai Xianhua;Yang Yihong(Zhongshan Institute,University of Electronic Science and Technology of China,Zhongshan 528400;Zhongshan Garden City Co.,Ltd.,Zhongshan 528421)

机构地区：[1]电子科技大学中山学院,中山528400 [2]中山花木城园林有限公司,中山528421

出　　处：《现代计算机》2022年第15期112-116,共5页Modern Computer

摘　　要：病虫害防治是园林栽培养护过程中的重要工作之一。针对园林养护中遇到病虫害发生时难以及时解决的问题,本文利用深度学习、VUE、SpringBoot和Pytorch等技术,构建一套适用于园林植物常见病虫害的智能识别系统。系统包含了植物数据库、病虫害数据库、盆景养护、智能识别模型构建、病虫害诊断等功能,解决了园林养护中仅依靠传统经验的模型所存在的问题,提升了园林养护的生产效率。Pest control is one of the most important tasks in the process of garden cultivation and maintenance.To solve the problem of handling pests and diseases in garden maintenance in time,we leverage deep learning,VUE,SpringBoot and Pytorch to build an intelligent identification system for common pests and diseases of garden plants.The system includes plant database,plant diseases and insect pest database,bonsai maintenance,intelligent identification model construction,pest diagnosis and other functions,which optimizes the shortcomings of the model that only relies on traditional experience in garden maintenance,and improves the production efficiency of garden maintenance.

关 键 词：深度学习 病虫害识别 园林植物 病虫害数据库 SpringBoot 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP391.41[自动化与计算机技术—控制科学与工程] TU986[建筑科学—城市规划与设计]