微型电脑应用2025，Vol.41Issue(3)：90-93,97,5.
基于计算机视觉的农作物病虫害识别研究综述
A Research Review of Crop Disease and Pest Recognition Based on Computer Vision
摘要
Abstract
The prevention and control of crop disease and pest is a major problem in agricultural production.Timely and accu-rate recognition of pests is very important for maintaining the stability of agricultural production and protecting the environ-ment.Common methods of crop disease and pest recognition include manual recognition,microscope observation and analysis,biological detection,computer vision,etc.Among them,computer vision has gradually become an important means in the field of pest recognition,which has the characteristics of high efficiency,fast and accurate.This paper describes the principle and shortcomings of the traditional pest recognition model,briefly introduces the basic process of the pest recognition model based on convolutional neural network and transfer learning,summarizes some relevant literatures at home and abroad,and puts for-ward the existing problems and improvement directions of the current crop disease and pest recognition model.关键词
农作物病虫害识别/深度学习/卷积神经网络/迁移学习Key words
crop disease and pest recognition/deep learning/convolutional neural network/transfer learning分类
信息技术与安全科学引用本文复制引用
胡雯婧,余俊龙,梁雷,张静,董卫彬,蒋龙泉..基于计算机视觉的农作物病虫害识别研究综述[J].微型电脑应用,2025,41(3):90-93,97,5.基金项目
临港新片区高新产业和科技创新专项项目(SH-LG-GK-2020-02-11) （SH-LG-GK-2020-02-11）
