Oil yield prediction for sunflower hybrid selection using different machine learning algorithms

Cvejić, Sandra; Hrnjaković, Olivera; Jocković, Milan; Kupusinac, Aleksandar; Doroslovački, Ksenija; Gvozdenac, Sonja; Jocić, Siniša; Miladinović, Dragana

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Title:	Oil yield prediction for sunflower hybrid selection using different machine learning algorithms
Authors:	Cvejić, Sandra ; Hrnjaković, Olivera ; Jocković, Milan ; Kupusinac, Aleksandar ; Doroslovački, Ksenija ; Gvozdenac, Sonja ; Jocić, Siniša ; Miladinović, Dragana
Issue Date:	2023
Publication:	Scientific Reports
ISSN:	2045-2322 Scientific Reports Search Idenfier
Publisher:	Nature Portfolio
Type:	Article
Collation:	vol. 13 br. 1 str. 17611
DOI:	10.1038/s41598-023-44999-3
WoS-ID:	001086802300094
Scopus-ID:	2-s2.0-85174453290
PMID:	37848668
PMCID:	PMC10582183
URI:	http://fiver.ifvcns.rs/handle/123456789/3918 https://enauka.gov.rs/handle/123456789/839518
Project:	Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200032 (Naučni institut za ratarstvo i povrtarstvo, Novi Sad) SmartSun - Creating climate smart sunflower for future challenges CROPINNO - Stepping up scientific excellence and innovation capacity for climate-resilient crop improvement and production COST Action CA18111: "Genome editing in plants - a technology with transformative potential" CA19125 COST Action EPI-CATCH
M-category:	21M21

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