| Naziv: | New approaches in phenotype prediction – machine learning techniques |
Autori: | Jocković, Milan   ; Cvejić, Sandra ; Jocić, Siniša ; Radeka, Ilija; Jocković, Jelena ; Radanović, Aleksandra ; Terzić, Sreten ; Dedić, Boško |
Godina: | 2022 |
Publikacija: | Proceedings, 20th International Sunflower Conference, Novi Sad, Serbia, June 20-23 |
Izdavač: | Paris : International Sunflower Association
Novi Sad : Institute of Field and Vegetable Crops |
Tip rezultata: | Konferencijski rad |
ISBN: | 978-86-80417-89-9  Pretraži identifikator |
Kolacija: | str. 140-140 |
URI: | https://enauka.gov.rs/handle/123456789/561032
http://fiver.ifvcns.rs/handle/123456789/2900 |
Projekat: | SmartSun - Creating climate smart sunflower for future challenges (RS-7732457)
Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200032 (Naučni institut za ratarstvo i povrtarstvo, Novi Sad) (RS-200032)
COST Action CA18111: "Genome editing in plants - a technology with transformative potential"
COST Action CA 16212: "Impact of nuclear domains on gene expression and plant traits" |
M-kategorija: | |
