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
Prediction of Cow Calving in Extensive Livestock Using a Ne..:
Carlos González-Sánchez
;
Guillermo Sánchez-Brizuela
;
Ana Cisnal
...
Sensing and Imaging. , 2021
Link:
https://doi.org/10.3390/s21238060
RT Journal T1
Prediction of Cow Calving in Extensive Livestock Using a New Neck-Mounted Sensorized Wearable Device: A Pilot Study
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_1424-8220_21_23_8060_&Exemplar=1&LAN=DE A1 Carlos González-Sánchez A1 Guillermo Sánchez-Brizuela A1 Ana Cisnal A1 Juan-Carlos Fraile A1 Javier Pérez-Turiel A1 Eusebio de la Fuente-López PB Multidisciplinary Digital Publishing Institute YR 2021 K1 cow K1 extensive livestock K1 sensorized wearable device K1 monitoring K1 parturition prediction JF Sensing and Imaging LK http://dx.doi.org/https://doi.org/10.3390/s21238060 DO https://doi.org/10.3390/s21238060 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)