Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine
To overcome the constraints for policy and practice posed by limited availability of data on crop rotation, this paper applies machine learning to freely available satellite imagery to identify the rotational practices of more than 7,000 villages i...
Main Authors: | Deininger, Klaus, Ali, Daniel Ayalew, Kussul, Nataliia, Lavreniuk, Mykola, Nivievskyi, Oleg |
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Format: | Working Paper |
Language: | English |
Published: |
World Bank, Washington, DC
2020
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Subjects: | |
Online Access: | http://documents.worldbank.org/curated/en/459481593442273789/Using-Machine-Learning-to-Assess-Yield-Impacts-of-Crop-Rotation-Combining-Satellite-and-Statistical-Data-for-Ukraine http://hdl.handle.net/10986/34021 |
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