摘要
棉花是我国重要的战略物资,也是我国重要的经济作物之一,对我国的农业生产、民生生活、二三产业具有重要作用。棉蚜是棉花生长发育进程中主要的害虫之一,棉蚜虫情信息获取的滞后性、不准确性将导致生产上农药的过度施用,进而加速棉花生境破坏和棉田环境污染。因此,实时、精准地获取棉田棉蚜虫情的时空分布、危害等级、发生面积等信息,对棉蚜的防治、棉田管理、农田环境保护等具有重要现实意义。遥感技术、机器视觉技术加快了棉田棉蚜虫情的实时、动态信息的获取和虫情等级的判别。聚焦“棉蚜虫情信息监测”,开展了国内外文献查阅与梳理,分别阐述了传统方法、遥感技术和图像识别对棉蚜虫情信息的研究现状与进展。探讨了棉蚜监测存在的问题,对未来棉蚜危害信息的监测与诊断研究重点和发展趋势进行了展望。
Cotton is an important strategic material and one of our important economic crops.It plays an important role in our agricultural production,people’s livelihood and secondary and tertiary industries.Cotton aphid is one of the major pests in the process of cotton growth and development.The lag and inaccuracy of aphid information will lead to the excessive application of pesticides,which will accelerate the destruction of cotton habitat and the pollution of cotton field environment.Therefore,it is of great practical significance to obtain the temporal and spatial distribution,hazard level and occurrence area of aphids in cotton fields in real time and accurately for the prevention and control of cotton aphid,cotton field management and farmland environmental protection.Remote sensing technology and machine vision technology speed up the acquisition of real-time and dynamic information and classification of aphids in cotton fields.This paper focused on“cotton aphid situation information monitoring”,carried out literature review and combing at home and abroad,and described the research status and progress of traditional methods,remote sensing technology and image recognition on cotton aphid situation information.The problems in the monitoring of cotton aphid were discussed,and the research focus and development trend of the monitoring and diagnosis of cotton aphid damage information in the future were prospected.
作者
林皎
张家琪
候金枚
王霜
赵书珍
王有武
王娟
万素梅
LIN Jiao;ZHANG Jia-qi;HOU Jin-mei(College of Agriculture,Tarim University,Alar,Xinjiang 843300;Key Laboratory of Genetic Improvement and Efficient Production of Characteristic Crops in Arid Areas of Southern Xinjiang,Alar,Xinjiang 843300)
出处
《安徽农业科学》
CAS
2024年第20期11-15,共5页
Journal of Anhui Agricultural Sciences
基金
塔里木大学校长基金项目(TDZKBS202201)
塔里木大学大学生创新创业训练计划项目(2022041)。
关键词
棉花
棉蚜
光谱分析
图像识别
Cotton
Cotton aphid
Spectral analysis
Image recognition