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
Soil Moisture Detection for Precision Agriculture using Dee..:
, In:
2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
,
Nahak, Pradeep
;
Agarwal, Ankush
;
Pratihar, Dilip Kumar
. - p. 677-682 , 2024
Link:
https://doi.org/10.1109/InCACCT61598.2024.10551030
RT T1 <cTitle>2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)</cTitle>: T1 <Title>Soil Moisture Detection for Precision Agriculture using Deep Learning Techniques</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10551030&Exemplar=1&LAN=DE A1 Nahak, Pradeep A1 Agarwal, Ankush A1 Pratihar, Dilip Kumar A1 Deb, Alok Kanti YR 2024 K1 Deep learning K1 Training K1 Measurement K1 Visualization K1 Computational modeling K1 Soil moisture K1 Computer architecture K1 Soil Moisture detection K1 Deep Learning K1 Computer vision K1 InceptionV3 SP 677 OP 682 LK http://dx.doi.org/https://doi.org/10.1109/InCACCT61598.2024.10551030 DO https://doi.org/10.1109/InCACCT61598.2024.10551030 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
