生命科学研究2025，Vol.29Issue(6)：486-492,7.DOI:10.16605/j.cnki.1007-7847.2025.09.0180
计算机视觉技术与人工智能在水稻害虫识别、监测与防控研究中的应用
Identification,Monitoring and Control of Rice Pests Based on Computer Vision and Artificial Intelligence
摘要
Abstract
Accurate identification and effective monitoring of rice pests are crucial for ensuring the safe production of rice.With the deep integration of information technology and agriculture,computer vision and artificial intelligence(AI)technologies offer novel solutions for the intelligent monitoring and early warning of rice pests.This paper extracts relevant literature from the China National Knowledge Infrastructure(CNKI)database over the period 2000-2025,analyzes the core research trends in rice pest studies in China using bibliometric methods,and summarizes advances in the application of computer vision and AI in rice pest iden-tification and monitoring.The article first outlines the research status of key pests in China,such as plan-thoppers and stem borers,as well as their natural enemies.It then elaborates on the evolution of pest identi-fication techniques from traditional image processing to deep learning,with a focused analysis of identification methods centered on convolutional neural networks(CNN)and object detection models,along with their opti-mization strategies.Furthermore,it explores the construction of intelligent monitoring and early warning sys-tems that integrate internet of things(IoT)sensors,multi-source data,and AI models.The review aims to pro-vide practical pathways for the green and precise control of rice pests within the context of smart agriculture.关键词
计算机视觉技术/人工智能(AI)/水稻害虫/识别/监测Key words
computer vision technology/artificial intelligence(AI)/rice pest/identification/monitoring分类
生物科学引用本文复制引用
刘雨芳,张翼飞..计算机视觉技术与人工智能在水稻害虫识别、监测与防控研究中的应用[J].生命科学研究,2025,29(6):486-492,7.基金项目
国家自然科学基金资助项目(32270528) （32270528）
