中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 合肥物质科学研究院
  3. 中国科学院合肥物质科学研究院
Deep learning based soybean seed classification

文献类型：期刊论文

作者Huang, Ziliang1,4; Wang, Rujing1,4; Cao, Ying3; Zheng, Shijian2; Teng, Yue1,4; Wang, Fenmei1,4; Wang, Liusan1; Du, Jianming1
刊名COMPUTERS AND ELECTRONICS IN AGRICULTURE
出版日期2022-11-01
卷号202
关键词Attention mechanism Image classification Image segmentation Lightweight convolutional neural networks Soybean seed
ISSN号0168-1699
DOI10.1016/j.compag.2022.107393
通讯作者Wang, Liusan(lswang@iim.ac.cn) ; Du, Jianming(djming@iim.ac.cn)
英文摘要Accurately sorting high-quality soybean seeds is a crucial and time-consuming task in quality inspection and food safety. This paper designs a full pipeline to classify the soybean seeds, which follows a segmentation- classification procedure. The image segmentation is performed by a popular deep learning method, the Mask R-CNN, while the classification stage is performed through a novel network, named Soybean Network (SNet). SNet is an extremely lightweight model based on convolutional networks, and it contains mixed feature recalibration (MFR) modules. The MFR module is designed to improve the representation ability of our SNet for damage features so that the model pays more attention to the key regions. Experimental results show that the proposed SNet model achieves 96.2% identification accuracy with only 1.29M parameters, which outperforms six previous state-of-the-art models. The proposed SNet could be used for the automatic recognition of soybean seeds on the resource-limited platform.
资助项目National Key Research and Devel-opment Program of China ; National Natural Science Foundation of China ; [2018YFD0101004] ; [31671586]
WOS研究方向Agriculture ; Computer Science
语种英语
WOS记录号WOS:000868905900003
出版者ELSEVIER SCI LTD
资助机构National Key Research and Devel-opment Program of China ; National Natural Science Foundation of China
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/129869]  
专题中国科学院合肥物质科学研究院
通讯作者Wang, Liusan; Du, Jianming
作者单位1.Chinese Acad Sci, Inst Intelligent Machines, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
2.Southwest Univ Sci & Technol, Mianyang 621010, Peoples R China
3.Gansu Vocat Coll Architecture, Lanzhou 730050, Peoples R China
4.Univ Sci & Technol China, Hefei 230026, Peoples R China
推荐引用方式
GB/T 7714		 Huang, Ziliang,Wang, Rujing,Cao, Ying,et al. Deep learning based soybean seed classification[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE,2022,202.
APA Huang, Ziliang.,Wang, Rujing.,Cao, Ying.,Zheng, Shijian.,Teng, Yue.,...&Du, Jianming.(2022).Deep learning based soybean seed classification.COMPUTERS AND ELECTRONICS IN AGRICULTURE,202.
MLA Huang, Ziliang,et al."Deep learning based soybean seed classification".COMPUTERS AND ELECTRONICS IN AGRICULTURE 202(2022).

入库方式： OAI收割

来源：合肥物质科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。