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Yield prediction at field level

Yield prediction at the field level is crucial for optimizing agricultural productivity and ensuring food security. This study analyzes the yield variability of maize, sunflower, and winter wheat across 481 agricultural fields in two regions of Ukraine (Kyiv and Cherkasy) over a three-year period (2...

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Datum:	2024
Hauptverfasser:	Kryvoshein, Oleksandr, Kryvobok, Oleksii, Zhylchenko, Dmytro
Format:	Artikel
Sprache:	Englisch
Veröffentlicht:	Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine 2024
Schlagworte:	yield prediction crops field satellite data machine learning
Online Zugang:	https://ujrs.org.ua/ujrs/article/view/275
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Назва журналу:	Ukrainian Journal of Remote Sensing of the Earth

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Ukrainian Journal of Remote Sensing of the Earth

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