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
Peanut Seed Germination Detection from Aerial Images:
, In:
2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
,
Ma, Shengfang
;
Zhou, Yuting
;
Flynn, K. Colton
. - p. 1-6 , 2022
Link:
https://doi.org/10.1109/AIPR57179.2022.10092219
RT T1
2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
: T1
Peanut Seed Germination Detection from Aerial Images
UL https://suche.suub.uni-bremen.de/peid=ieee-10092219&Exemplar=1&LAN=DE A1 Ma, Shengfang A1 Zhou, Yuting A1 Flynn, K. Colton A1 Aakur, Sathyanarayanan N. YR 2022 SN 2332-5615 K1 Computational modeling K1 Oils K1 Object detection K1 Cameras K1 Real-time systems K1 Seeds (agriculture) K1 Sensors K1 peanut germination K1 remote sensing K1 deep learning K1 object detection K1 UAS SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/AIPR57179.2022.10092219 DO https://doi.org/10.1109/AIPR57179.2022.10092219 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)