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eNauka >  Results >  Leaf counting in the presence of occlusion in Arabidopsis thaliana plant using convolutional neural networks
Title: Leaf counting in the presence of occlusion in Arabidopsis thaliana plant using convolutional neural networks
Authors: Z. Štaka; M. Mišić  
Issue Date: 2023
Publication: JOURNAL OF ELECTRONIC IMAGING
ISSN: 1017-9909 Journal of Electronic Imaging Search Idenfier
Type: Article
Collation: vol. 32 br. 05 str. 052407-1-052407-18
DOI: 10.1117/1.JEI.32.5.052407
WoS-ID: 001108969300035
Scopus-ID: 2-s2.0-85175963704
URI: https://doi.org/10.1117/1.JEI.32.5.052407
http://zaposleni.etf.bg.ac.rs/rest/sciNaucniRezultati/oai/record/2/709207
https://enauka.gov.rs/handle/123456789/783196
Project: Ministry of Science, Technological Development, and Innovation of the Republic of Serbia
This work was partially financially supported by the Ministry of Science, Technological Development, and Innovation of the Republic of Serbia (Contract No. 451-03-47/2023-01/200103). [451-03-47/2023-01/200103]
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
23M23

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