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
DSBEAN: An innovative framework for intelligent soybean bre..:
Zhang, Zhe
;
Jin, Xiu
;
Rao, Yuan
...
Computers and Electronics in Agriculture. 224 (2024) - p. 109135 , 2024
Link:
https://doi.org/10.1016/j.compag.2024.109135
RT Journal T1
DSBEAN: An innovative framework for intelligent soybean breeding phenotype analysis based on various main stem structures and deep learning methods
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.compag.2024.109135&Exemplar=1&LAN=DE A1 Zhang, Zhe A1 Jin, Xiu A1 Rao, Yuan A1 Wan, Tianyu A1 Wang, Xiaobo A1 Li, Jiajia A1 Chen, Haoran A1 Wu, Kanglei A1 Kong, Fanchen A1 Tian, Zhuo A1 Shao, Xing PB Elsevier BV YR 2024 SN 0168-1699 JF Computers and Electronics in Agriculture VO 224 SP 109135 LK http://dx.doi.org/https://doi.org/10.1016/j.compag.2024.109135 DO https://doi.org/10.1016/j.compag.2024.109135 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)