Published July 5, 2019 | Version v1

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

  • 1. Faculty of Agriculture Novi Sad
  • 2. BioSense Institute

Description

We used machine learning to process Sentinel 2 multispectral images and infer the amount of soil organic matter using satellite soil indices.

Files

POSTER RIM ESA 2019.pdf

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Additional details

Funding

European Commission
ANTARES - Centre of Excellence for Advanced Technologies in Sustainable Agriculture and Food Security 739570