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eNauka >  Results >  Detection of double-cropping systems using machine learning and Sentinel 2 imagery - A case study of Bačka and Srem regions, Serbia
Title: Detection of double-cropping systems using machine learning and Sentinel 2 imagery - A case study of Bačka and Srem regions, Serbia
Authors: Marković, Miljana  ; Lugonja, Predrag  ; Brdar, Sanja  ; Živaljević, Branislav  ; Crnojević, Vladimir  
Issue Date: 2022
Publication: EGU General Assembly, Vienna, Austria & Online, May 23–27
Type: Conference Paper
DOI: 10.5194/egusphere-egu22-6225
URI: https://zenodo.org/record/7080114
https://enauka.gov.rs/handle/123456789/609416
Project:  ANTARES - Centre of Excellence for Advanced Technologies in Sustainable Agriculture and Food Security
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