Site-specific sunflower yield forecasting based on spatial analysis and machine learning
The study focuses on the development of an intelligent yield forecasting system using satellite data, geospatial data and climate indicators. The introduction of modern information technologies, in particular machine learning and big data analysis methods, provides agricultural professionals with st...
Gespeichert in:
| Datum: | 2025 |
|---|---|
| Hauptverfasser: | Hnatiienko, V.H., Hnatiienko, H.M., Zozulya, O.L., Snytyuk, V.Ye., Schwartau, V.V. |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Видавничий дім "Академперіодика" НАН України
2025
|
| Schriftenreihe: | Доповіді НАН України |
| Schlagworte: | |
| Online Zugang: | https://nasplib.isofts.kiev.ua/handle/123456789/206609 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | Site-specific sunflower yield forecasting based on spatial analysis and machine learning / V.H. Hnatiienko, H.M. Hnatiienko, O.L. Zozulya, V.Ye. Snytyuk, V.V. Schwartau // Доповіді Національної академії наук України. — 2025. — № 4. — С. 17-26. — Бібліогр.: 14 назв. — англ. |
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