计算机图像技术在烟草病害诊断中的应用研究进展  

Advances in the application of computer imaging technology in tobacco disease diagnosis

作　　者：朱均燕[1] 黄嘉星 ZHU Junyan;HUANG Jiaxing(College of Computer and Information Science,Fujian Agriculture and Forestry University,Fuzhou,Fujian 350002,China)

机构地区：[1]福建农林大学计算机与信息学院,福建福州350002

出　　处：《武夷科学》2022年第2期99-107,共9页Wuyi Science Journal

基　　金：福建省教育厅省中青年教师教育科研项目(JT180123);福建农林大学2022年校级大学生创新创业训练计划项目(202210389307)。

摘　　要：基于图像处理、病斑特征提取、识别技术选择以及烟草病害诊断研发4个方面对计算机图像技术在烟草病害诊断中的研究现状和进展进行了综述,明确了目前烟草病害的诊断主要存在的两个问题:一是研发的诊断系统对烟草病害种类识别的局限性,二是诊断系统如何有效地投入到实际应用中。最后,提出了开发识别种类齐全的烟草病害诊断系统并投入到实际应用的研究目标。This paper reviews the current research status and progress of computer imaging technology in the diagnosis of tobacco diseases from four perspectives:image processing,disease spot feature extraction,selection of identification technology,and development of tobacco disease diagnostic systems.Currently,tobacco disease diagnosis is affected by two main problems:the limited tobacco disease types recognized by the diagnosis systems and unavailability of a method for effectively deploying a diagnostic system in practical applications.Consequently,establishing a diagnostic system for identifying tobacco disease with sufficient accuracy and deploying such a system into practical applications is the next research goal in this field.

关 键 词：烟草病害 计算机图像技术 图像处理 诊断系统 

分 类 号：S435.72[农业科学—农业昆虫与害虫防治]