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Feature selection and performance assessment of machine learning algorithms for sunflower oil yield prediction
| Naziv: | Feature selection and performance assessment of machine learning algorithms for sunflower oil yield prediction | Autori: | Cvejić, Sandra   ; Hrnjaković, Olivera ; Jocković, Milan ; Kupusinac, Aleksandar ; Doroslovački, Ksenija ; Radeka, Ilija; Jocić, Siniša ; Miladinović, Dragana ; Miklič, Vladimir |
Godina: | 2022 | Publikacija: | International Sunflower Conference (20 ; 2022 ; Novi Sad), 20-23 June 2022, Novi Sad, Serbia | Izdavač: | Paris, France : International Sunflower Association Novi Sad, Serbia : Institute of Field and Vegetable Crops |
Tip rezultata: | Konferencijski rad | ISBN: | 978-86-80417-89-9  Pretraži identifikator |
Kolacija: | str. 105-105 | URI: | https://enauka.gov.rs/handle/123456789/561110 http://fiver.ifvcns.rs/handle/123456789/2889 |
URL: | https://fiver.ifvcns.rs/handle/123456789/2889 | Projekat: | Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200032 (Naučni institut za ratarstvo i povrtarstvo, Novi Sad) (RS-200032) SmartSun - Creating climate smart sunflower for future challenges (RS-7732457) |
Napomena o dostupnosti: | Подаци и/или пуни текст су непотпуни | M-kategorija: | Mp kategorija će biti prikazana naknadno. |
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