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
Classification of soybean pods using the deep learning tech..:
Bandeira, Poliana Maria da Costa
;
Villar, Flora Maria de Melo
;
Bandeira, Priscila Pascali da Costa
.
Revista Engenharia na Agricultura - REVENG. 31 (2023) Contínua - p. 98-105 , 2023
Link:
https://doi.org/10.13083/reveng.v30i1.15436
RT Journal T1
Classification of soybean pods using the deep learning techniques
UL https://suche.suub.uni-bremen.de/peid=cr-10.13083_reveng.v30i1.15436&Exemplar=1&LAN=DE A1 Bandeira, Poliana Maria da Costa A1 Villar, Flora Maria de Melo A1 Bandeira, Priscila Pascali da Costa A1 Dias, Iara Aparecida PB Revista Engenharia na Agricultura YR 2023 SN 2175-6813 SN 1414-3984 JF Revista Engenharia na Agricultura - REVENG VO 31 IS Contínua SP 98 OP 105 LK http://dx.doi.org/https://doi.org/10.13083/reveng.v30i1.15436 DO https://doi.org/10.13083/reveng.v30i1.15436 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)