基于计算机视觉的水稻病虫害监测平台研发  

Research and Development of Rice Disease and Pest Monitoring Platform Based on Computer Vision

作　　者：管博伦 董伟 张立平 朱静波 孔娟娟 李闰枚 张萌 GUAN Bo-lun;DONG Wei;ZHANG Li-ping(Institute of Agricultural Economy and Information,Anhui Academy of Agricultural Sciences,Hefei,Anhui 230031)

机构地区：[1]安徽省农业科学院农业经济与信息研究所,安徽合肥230031

出　　处：《安徽农业科学》2024年第16期211-216,共6页Journal of Anhui Agricultural Sciences

基　　金：安徽省财政农业科技成果转化项目“高产优质抗逆水稻新品种成果转化”(2022ZH001);安徽省农业科学院科研计划项目“农业智能化技术研发中心”(2023YL014)。

摘　　要：水稻病虫害是影响水稻产量与质量的重要因素之一,加强病虫害的防治意义重大。从需求分析、技术系统架构、功能模块3个方面详细阐述了水稻病虫害检测预警平台的研发过程,通过周围环境信息与图像识别技术实现了水稻病虫害监测预警功能,提升了水稻病虫害防治效率。分析和调研发现,水稻病虫害检测预警平台仍然存在一些问题,未来将从增强系统的地域适应性、提高小型害虫的识别效果、构建高质量农业病虫害数据集3个方面开展进一步研究。Rice diseases and pests are one of the important factors affecting rice yield and quality.It is of great significance to strengthening the prevention and control of diseases and pests.The article elaborates on the development process of a rice pest detection and warning platform from three aspects of demand analysis,technical system architecture and functional modules.Through the use of surrounding environmental in⁃formation and image recognition technology,the rice pest detection and warning function was achieved,improving the efficiency of rice pest prevention and control.After analysis and research,it was found that there were still some problems with the rice pest detection and warning platform.In the future,in⁃depth research could be conducted from three aspects of enhancing the regional adaptability of the system,improving the recognition effect of small pests and constructing high⁃quality agricultural pest and disease datasets.

关 键 词：水稻病虫害 图像识别 监测 预警 

分 类 号：S126[农业科学—农业基础科学]