农机化研究2024，Vol.46Issue(5)：182-186,5.
基于深度学习的植保无人机识别系统应用研究
Application of Identification System for UAV Plant Protection Based on Deep Learning
摘要
Abstract
Aiming at the problem of low accuracy,slow speed and huge labor cost of manual identification and positio-ning of pest species,the application of identification system of plant protection UAV based on deep learning was studied.The recognition system was mainly constituted of three layers:perception layer,transmission layer and application layer.Deep learning algorithm was used for artificial intelligence recognition to enable plant protection UAV to accurately identi-fy and locate pest specied.The convolutional neural network and recognition evaluation indicators ware designed.To verify the performance of the recognition system,training and test,test of model in other data sets were carried out.The test re-sult show that the system has high virus recognition rate and good portability.关键词
植保无人机/识别系统/深度学习/卷积神经网络/识别率Key words
plant protection UAV/identification system/deep learning/convolutional neural network/recognition rate分类
农业科技引用本文复制引用
张新英,林婷婷,付川南..基于深度学习的植保无人机识别系统应用研究[J].农机化研究,2024,46(5):182-186,5.基金项目
河南省骨干教师培养计划项目(2018GGJS213) （2018GGJS213）
河南省高等学校重点科研项目(22B520043) （22B520043）
郑州经贸学院骨干教师项目(ggjs1902) （ggjs1902）
河南省精品在线开放课程建设项目(2021) （2021）
河南省本科一流课程建设项目(2022) （2022）
2021郑州经贸学院一流课程建设项目(ylkc08) （ylkc08）
