计算机与数字工程2023，Vol.51Issue(12)：2997-3003,7.DOI:10.3969/j.issn.1672-9722.2023.12.041
基于改进AlexNet与CUDA的大豆快速三分类方法
Soybean Rapid Tri-classification Method Based on Improved AlexNet and CUDA
林伟 1仲伟波 1袁毓 1齐国庆 1李浩东1
作者信息
- 1. 江苏科技大学电子信息学院 镇江 212100
- 折叠
摘要
Abstract
In order to realize soybean seed classification accurately and quickly,a fast tri-classification soybean seed classifi-cation method based on improved AlexNet and CUDA is proposed.Aiming at multi-classification of soybean seeds,a soybean seed image library is constructed.According to the task requirements of fast classification,AlexNet is improved and implemented by CU-DA C++.A rapid soybean seed classification system is constructed based on NVIDIA Jetson TX2.The classification accuracy of training set and validation set can reach 98％ and 94％ respectively.The classification accuracy of soybean images collected online is about 93％,and it takes about 6ms to classify a soybean seed,which can meet the application requirements of rapid classifica-tion.关键词
图像处理/机器视觉/大豆籽粒分类/AlexNet改进模型/统一计算设备架构Key words
image processing/machine vision/classification of soybean seeds/improved AlexNet/compute unified device architecture分类
信息技术与安全科学引用本文复制引用
林伟,仲伟波,袁毓,齐国庆,李浩东..基于改进AlexNet与CUDA的大豆快速三分类方法[J].计算机与数字工程,2023,51(12):2997-3003,7.
