| Title: | Agricultural parameters and essential oil content composition prediction of aniseed, based on growing year, locality and fertilization type - an artificial neural network approach |
Authors: | Pezo, Lato   ; Lončar, Biljana ; Šovljanski, Olja ; Tomić, Ana ; Travičić, Vanja ; Pezo, Milada ; Aćimović, Milica |
Issue Date: | 2022 |
Publication: | Life |
ISSN: | 2075-1729 Life-Basel Search Idenfier |
Publisher: | Basel: MDPI |
Type: | Article |
Collation: | vol. 12 br. 11 str. Article number 1722 |
DOI: | 10.3390/life12111722 |
WoS-ID: | 000881079800001 |
Scopus-ID: | 2-s2.0-85141716048 |
PMID: | 36362877 |
PMCID: | PMC9694612 |
URI: | https://enauka.gov.rs/handle/123456789/574086
https://riofh.iofh.bg.ac.rs/handle/123456789/869
https://vinar.vin.bg.ac.rs/handle/123456789/10511
http://fiver.ifvcns.rs/handle/123456789/3237 |
Project: | Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200051 (Institut za opštu i fizičku hemiju, Beograd)
Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200134 (Univerzitet u Novom Sadu, Tehnološki fakultet)
Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200032 (Naučni institut za ratarstvo i povrtarstvo, Novi Sad) |
M-category: | |
