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 data-driven framework for identifying productivity zones ..:
, In:
2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)
,
Da Silva, Roberto Fray
;
Gesualdo, Gabriela Chiquito
;
Benso, Marcos Roberto
... - p. 226-231 , 2021
Link:
https://doi.org/10.1109/MetroAgriFor52389.2021.9628570
RT T1 <cTitle>2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)</cTitle>: T1 <Title>A data-driven framework for identifying productivity zones and the impact of agricultural droughts in sugarcane using SPI and unsupervised learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9628570&Exemplar=1&LAN=DE A1 Da Silva, Roberto Fray A1 Gesualdo, Gabriela Chiquito A1 Benso, Marcos Roberto A1 Fava, Maria Clara A1 Mendiondo, Eduardo Mario A1 Saraiva, Antonio Mauro A1 Botazzo Delbem, Alexandre Claudio YR 2021 K1 Productivity K1 Soft sensors K1 Geology K1 Urban areas K1 Crops K1 Soil K1 Metrology K1 Climate change K1 Agricultural drought K1 Framework K1 SPI K1 Sugarcane K1 Unsupervised learning SP 226 OP 231 LK http://dx.doi.org/https://doi.org/10.1109/MetroAgriFor52389.2021.9628570 DO https://doi.org/10.1109/MetroAgriFor52389.2021.9628570 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
