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
Classification of Rice Diseases and Insect Pests Based on A..:
, In:
2022 14th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
,
Haiyan, Hu
;
Chang, Su
- p. 322-325 , 2022
Link:
https://doi.org/10.1109/ICMTMA54903.2022.00068
RT T1 <cTitle>2022 14th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)</cTitle>: T1 <Title>Classification of Rice Diseases and Insect Pests Based on Artificial Intelligence</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9723932&Exemplar=1&LAN=DE A1 Haiyan, Hu A1 Chang, Su YR 2022 SN 2157-1481 K1 Training K1 Image segmentation K1 Convolution K1 Neural networks K1 Feature extraction K1 Classification algorithms K1 Reliability K1 Artificial Intelligence K1 Pest and Disease K1 OpenCV K1 Convolutional Neural Network SP 322 OP 325 LK http://dx.doi.org/https://doi.org/10.1109/ICMTMA54903.2022.00068 DO https://doi.org/10.1109/ICMTMA54903.2022.00068 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
