基于深度学习和物联网的农业虫情监测系统  

Agricultural insect monitoring system based on deep learning and Internet of Things

作　　者：吴祺灵 余梓浩 马先盛 温清机 林智勇 魏纵横 Wu Qiling;Yu Zihao;Ma Xiansheng;Wen Qingji;Lin Zhiyong;Wei Zongheng(School of Computer Science,Guangdong Polytechnical Normal University,Guangzhou 510665,China)

机构地区：[1]广东技术师范大学计算机科学学院,广州510665

出　　处：《现代计算机》2024年第9期70-75,90,共7页Modern Computer

基　　金：2023国家级大学生创新创业训练计划重点支持领域项目(202310588014);广东普通高校重点项目(2023ZDZX1008、2023ZDZX1011)。

摘　　要：虫害是妨碍农作物健康生长、降低农作物产量的问题之一,对农业生产造成严重的威胁。因此,准确监测和科学管理虫情尤为紧迫。尽管我国已拥有各种先进综合治理技术,但是难以应对复杂的气候环境带来的变化。通过对基于深度学习和物联网的农业虫情监测系统的研究,提供更高效、更准确的虫害信息,可持续地应对频繁变化的气候环境,提高农业生产的效率和质量,为未来的智能农业发展开辟新的道路。Pests are one of the problems that hinder healthy crop growth and reduce crop yields,posing a serious threat to agricultural production.Therefore,accurate monitoring and scientific management of insect pests are particularly urgent nowadays.Although a variety of advanced integrated management technologies are available,it is difficult to cope with the changes brought by the complex climate environment.Research on agricultural pest monitoring systems that provide more efficient and accurate information on pests can sustainably cope with frequently changing climatic environments and improve crop yield and quality.This study aims to improve the efficiency and quality of agricultural production and to open up new paths for the development of smart agriculture in the future.

关 键 词：深度学习 物联网 虫情监测 

分 类 号：S126[农业科学—农业基础科学] S433