I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Diagnosis of soybean bacterial blight progress stage based ..:
Wang, Xueying
;
Pan, Tong
;
Qu, Jinqiu
...
Computers and Electronics in Agriculture. 212 (2023) - p. 108170 , 2023
Link:
https://doi.org/10.1016/j.compag.2023.108170
RT Journal T1
Diagnosis of soybean bacterial blight progress stage based on deep learning in the context of data-deficient
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.compag.2023.108170&Exemplar=1&LAN=DE A1 Wang, Xueying A1 Pan, Tong A1 Qu, Jinqiu A1 Sun, Yongzhe A1 Miao, Linxiao A1 Zhao, Ziming A1 Li, Yang A1 Zhang, Zhanguo A1 Zhao, Hongjie A1 Hu, Zhenbang A1 Xin, Dawei A1 Chen, Qingshan A1 Zhu, Rongsheng PB Elsevier BV YR 2023 SN 0168-1699 JF Computers and Electronics in Agriculture VO 212 SP 108170 LK http://dx.doi.org/https://doi.org/10.1016/j.compag.2023.108170 DO https://doi.org/10.1016/j.compag.2023.108170 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)