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...
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| Published in: | Доповіді НАН України |
|---|---|
| Date: | 2025 |
| Main Authors: | Hnatiienko, V.H., Hnatiienko, H.M., Zozulya, O.L., Snytyuk, V.Ye., Schwartau, V.V. |
| Format: | Article |
| Language: | English |
| Published: |
Видавничий дім "Академперіодика" НАН України
2025
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| Subjects: | |
| Online Access: | https://nasplib.isofts.kiev.ua/handle/123456789/206609 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | 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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