Predicting Soil Organic Matter Content using Machine Learning Models based on Sentinel-2 Imagery
| Main Authors: | Vladimir Ćirić, Sanja Brdar, Predrag Lugonja, Oskar Marko, Vladimir Crnojević |
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| Format: | Proceeding poster |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3269534 |
Daftar Isi:
- We used machine learning to process Sentinel 2 multispectral images and infer the amount of soil organic matter using satellite soil indices.