| Naslov
|
Oil yield prediction for sunflower hybrid selection using different machine learning algorithms (Article)
|
| Autori
|
Cvejic Sandra Dj Hrnjakovic Olivera Jockovic Milan Dj Kupusinac Aleksandar D Doroslovacki Ksenija Gvozdenac Sonja M Jocic Sinisa B Miladinovic Dragana M
|
| Info |
SCIENTIFIC REPORTS, (2023), vol. 13 br. 1, str. -
|
| Projekat
|
Ministry of Education, Science and Technological Development of the Republic of Serbia [451-03-68/2022-14/200032]; Science Fund of the Republic of Serbia through IDEAS project "Creating climate smart sunflower for future challenges" (SMARTSUN) [7732457]; European Commission through Twinning Western Balkans project CROPINNO [101059784]; Centre of Excellence for Innovations in Breeding of Climate-Resilient Crops-Climate Crops, Institute of Field and Vegetable Crops, Novi Sad, Serbia; COST Actions PlantEd [CA18111]; EPI-CATCH [CA19125]; COST (European Cooperation in Science and Technology) |
| Ispravka
|
ISI/Web of Science
Članak
Elečas
Rang časopisa
|
|
|
