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
Early detection of broccoli drought acclimation/stress in a..:
Malounas, Ioannis
;
Paliouras, Georgios
;
Nikolopoulos, Dimosthenis
...
Smart Agricultural Technology. 8 (2024) - p. 100463 , 2024
Link:
https://doi.org/10.1016/j.atech.2024.100463
RT Journal T1
Early detection of broccoli drought acclimation/stress in agricultural environments utilizing proximal hyperspectral imaging and AutoML
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.atech.2024.100463&Exemplar=1&LAN=DE A1 Malounas, Ioannis A1 Paliouras, Georgios A1 Nikolopoulos, Dimosthenis A1 Liakopoulos, Georgios A1 Bresta, Panagiota A1 Londra, Paraskevi A1 Katsileros, Anastasios A1 Fountas, Spyros PB Elsevier BV YR 2024 SN 2772-3755 JF Smart Agricultural Technology VO 8 SP 100463 LK http://dx.doi.org/https://doi.org/10.1016/j.atech.2024.100463 DO https://doi.org/10.1016/j.atech.2024.100463 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)