Nombre de documents archivés : 2.
Article
Bahrami, Hazhir
ORCID: https://orcid.org/0000-0003-1371-7337; Chokmani, Karem
ORCID: https://orcid.org/0000-0003-0018-0761; Homayouni, Saeid
ORCID: https://orcid.org/0000-0002-0214-5356; Adamchuk, Viacheslav I.
ORCID: https://orcid.org/0000-0001-7279-3597; Albasha, Rami
ORCID: https://orcid.org/0000-0001-5709-3760; Saifuzzaman, Md
ORCID: https://orcid.org/0000-0001-8494-8971 et Leduc, Maxime
ORCID: https://orcid.org/0000-0001-7097-1636
(2025).
Machine Learning-Based Alfalfa Height Estimation Using Sentinel-2 Multispectral Imagery.
Remote Sensing
, vol. 17
, nº 10.
p. 1759.
DOI: 10.3390/rs17101759.
Bahrami, Hazhir
ORCID: https://orcid.org/0000-0003-1371-7337; Chokmani, Karem
ORCID: https://orcid.org/0000-0003-0018-0761; Homayouni, Saeid
ORCID: https://orcid.org/0000-0002-0214-5356; Adamchuk, Viacheslav I.; Saifuzzaman, Md et Leduc, Maxime
(2025).
Alfalfa detection and stem count from proximal images using a combination of deep neural networks and machine learning.
Computers and Electronics in Agriculture
, vol. 232
.
p. 110115.
DOI: 10.1016/j.compag.2025.110115.
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