Earth Observation and Machine Learning for estimating the ir…
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- DOI 10.5281/zenodo.7920674
- OpenAlex ID W6912683178
- Type Conference-paper
- Language EN
- Published 24 Apr 2023
- Source Socio-Environmental Systems Modeling
- Countries 2
- Institutions 2
- Added 10 Oct 2025
- Updated 14 Oct 2026
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Earth Observation and Machine Learning for estimating the irrigation potential of municipalities in Vojvodina, Serbia
Conference-paper 2023 EN Green
Irrigation agriculture has an indispensable role in global food production. In order to fulfill the rising demand for food and water perceived in reports issued by the United Nations and other organizations in the last couple of years, more attention needs to be given to cropland and water management. Knowing the spatial distribution of irrigated areas, amount of irrigation surface, size and numbe…
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UN Sustainable Development Goals
2 SDGsAuthors & Affiliations
9 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Mirjana Radulović | BioSense Institute (RS) | |
| 2 | Branislav, Pejak | BioSense Institute (RS) | |
| 3 | Miloš Pandžić | BioSense Institute (RS) | |
| 4 | Sanja Brdar | BioSense Institute (RS) | |
| 5 | Ioannis, Athanasiadis | Wageningen University & Resear… (NL) | |
| 6 | Nina Pajević | BioSense Institute (RS) | |
| 7 | Marija Kopanja | BioSense Institute (RS) | |
| 8 | Predrag, Lugonja | BioSense Institute (RS) | |
| 9 | Crnojević Vladimir | BioSense Institute (RS) | — |
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