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
Crow Detection In Peanut Field Using Raspberry Pi:
, In:
2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS)
,
Harini, Davu
;
Sri, Kundu Bhagya
;
Durga, Mastan Mm
. - p. 260-266 , 2023
Link:
https://doi.org/10.1109/ICACCS57279.2023.10112813
RT T1
2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS)
: T1
Crow Detection In Peanut Field Using Raspberry Pi
UL https://suche.suub.uni-bremen.de/peid=ieee-10112813&Exemplar=1&LAN=DE A1 Harini, Davu A1 Sri, Kundu Bhagya A1 Durga, Mastan Mm A1 Brahmaiah, Oguluri Veera YR 2023 SN 2575-7288 K1 Communication systems K1 Neural networks K1 Crops K1 Object detection K1 Detectors K1 Birds K1 Real-time systems K1 Field-view K1 Crow Detection K1 Convolutional Neural Network(CNN) K1 MobileNet SSD K1 OpenCV K1 Raspberry Pi OS SP 260 OP 266 LK http://dx.doi.org/https://doi.org/10.1109/ICACCS57279.2023.10112813 DO https://doi.org/10.1109/ICACCS57279.2023.10112813 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)