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基于近红外光谱和深度学习数据增强的大米品种检测.

Authors :
杨 森
张新奡
王振民
类成伟
宋文龙
Source :
Transactions of the Chinese Society of Agricultural Engineering; Oct2023, Vol. 39 Issue 19, p250-257, 8p
Publication Year :
2023

Abstract

<i>Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)

Details

Language :
Chinese
ISSN :
10026819
Volume :
39
Issue :
19
Database :
Complementary Index
Journal :
Transactions of the Chinese Society of Agricultural Engineering
Publication Type :
Academic Journal
Accession number :
173614218
Full Text :
https://doi.org/10.11975/j.issn.1002-6819.202305088