Predicting Soil Organic Matter Content using Machine  Learning Models based on Sentinel-2 Imagery

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Title:	Predicting Soil Organic Matter Content using Machine Learning Models based on Sentinel-2 Imagery
Authors:	Ćirić, Vladimir ; Brdar, Sanja ; Lugonja, Predrag ; Marko, Oskar ; Crnojević, Vladimir
Issue Date:	2019
Publication:	World Soil User Consultation Meeting, ESA-ESRIN, Frascati (Rome), Italy, July 2-3
Type:	Conference Paper
DOI:	10.13140/RG.2.2.23926.55365
URI:	https://zenodo.org/record/3269534 https://enauka.gov.rs/handle/123456789/416511
Project:	ANTARES - Centre of Excellence for Advanced Technologies in Sustainable Agriculture and Food Security
Metadata source:	Migracija
M-category:	Mp. category will be shown later

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