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
A non‐destructive methodology for determination of cantalou..:
Ong, Pauline
;
Chen, Suming
;
Tsai, Chao‐Yin
..
Journal of the Science of Food and Agriculture. 102 (2022) 14 - p. 6586-6595 , 2022
Link:
https://doi.org/10.1002/jsfa.12024
RT Journal T1 <Title>A non‐destructive methodology for determination of cantaloupe sugar content using machine vision and deep learning</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1002_jsfa.12024&Exemplar=1&LAN=DE A1 Ong, Pauline A1 Chen, Suming A1 Tsai, Chao‐Yin A1 Wu, Yi‐Jing A1 Shen, Yi‐Tzu PB Wiley YR 2022 SN 0022-5142 SN 1097-0010 JF Journal of the Science of Food and Agriculture VO 102 IS 14 SP 6586 OP 6595 LK http://dx.doi.org/https://doi.org/10.1002/jsfa.12024 DO https://doi.org/10.1002/jsfa.12024 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
