| Naslov
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Oil yield prediction for sunflower hybrid selection using different machine learning algorithms (Article)
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| Autori
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Cvejic Sandra Dj  Hrnjakovic Olivera Jockovic Milan Dj Kupusinac Aleksandar D Doroslovacki Ksenija Gvozdenac Sonja M Jocic Sinisa B Miladinovic Dragana M
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| Info |
SCIENTIFIC REPORTS, (2023), vol. 13 br. 1, str. -
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| Projekat
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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
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Web of Science
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