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Soya Yield Prediction on a Within-Field Scale Using Machine Learning Models Trained on Sentinel-2 and Soil Data
| Title: | Soya Yield Prediction on a Within-Field Scale Using Machine Learning Models Trained on Sentinel-2 and Soil Data | Authors: | Pejak, Branislav   ; Lugonja, Predrag ; Antić, Aleksandar; Panić, Marko ; Pandžić, Miloš ; Alexakis, Emmanouil; Mavrepis, Philip; Zhou, Naweiluo; Marko, Oskar ; Crnojević, Vladimir |
Issue Date: | 2022 | Publication: | Remote Sensing | ISSN: | 2072-4292 Remote Sensing Search Idenfier |
Publisher: | MDPI | Type: | Article | Collation: | vol. 14 br. 9 str. 1-22 | DOI: | 10.3390/rs14092256 | WoS-ID: | 000795433100001 | Scopus-ID: | 2-s2.0-85130175203 | URI: | https://zenodo.org/record/6532266 https://enauka.gov.rs/handle/123456789/609094 |
Project: | ANTARES - Centre of Excellence for Advanced Technologies in Sustainable Agriculture and Food Security CYBELE - Fostering precision agriculture and livestock farming through secure access to large-scale HPC-enabled virtual industrial experimentation environment empowering scalable big data analytics |
M-category: | 21M21 |
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