摘要
林业有害生物危害着森林的健康,影响了绿色生态,是林业发展的痛点。本文通过采集大量有害生物图像样本,结合图片特征值标注、计算机视觉和机器学习算法,实现对江西省赣北地区主要林业有害生物的自动化检测和分类,从而提高监测的准确性和效率,并提出基于物联网技术的林业有害生物监测预警系统的设计方案,以期为林业有害生物防治提供参考。
Forestry harmful organisms have a negative impact on the forest health and green ecology,and are a pain point in developing forestry.In this paper,with a great deal of harmful organism image samples collected and labeled with characteristic values and computer vision and machine learning algorithm,the main harmful organism automatic detection and classification was realized in South Jiangxi,which improved the monitoring accuracy and efficiency.Based on the Internet of things technology,a design plan for the forest harmful organism monitoring and early warning system was put forward to provide reference for the forest harmful organism control.
作者
熊冬平
万承永
廖欧平
欧阳冬萍
万文俊
龚擎红
姚毅
饶出林
XIONG Dongping;WAN Chengyong;LIAO Ouping;OUYANG Dongping;WAN Wenjun;GONG Qinghong;YAO Yi;RAO Chulin(Nanchang Forestry Comprehensive Service Center,Nanchang 330025,Jiangxi,China;Key Laboratory for Integrated Development of Agricultural Internet of Things and Intelligent Equipment,Nanchang Academy of Agricultural Sciences,Nanchang 330000,Jiangxi,China;Forestry Bureau of Nanfeng County,Fuzhou 344500,Jiangxi,China.)
出处
《安徽林业科技》
2023年第6期27-30,共4页
Anhui Forestry Science and Technology
基金
2022年江西省林业局科技创新专项(编号:[2022]15号)
江西省重点研发计划项目(编号:2018BBF60035)
江西省重点研发计划项目(编号:20192ACB60015)
江西省重点研发计划项目(编号:20201BBF61013)。
关键词
有害生物
智能监测
预警系统
应用
Harmful organism
Intelligent monitoring
Early warning system
Application
