Deininger, K., Ali, D. A., Lavreniuk, M., Kussul, N., & Nivievskyi, O. [ca. 2020]. Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine. In World Bank E-Library Archive [Cd]. Washington, D.C: The World Bank. https://doi.org/10.1596/1813-9450-9306

DEININGER, Klaus, ALI, Daniel Ayalew, LAVRENIUK, Mykola, KUSSUL, Nataliia und NIVIEVSKYI, Oleg, 2020. Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine. Washington, D.C: The World Bank.

Deininger, K., D. A. Ali, M. Lavreniuk, N. Kussul, und O. Nivievskyi. „Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine“. World Bank E-Library Archive, cd, The World Bank, 2020, https://doi.org/10.1596/1813-9450-9306.

Deininger, Klaus/Ali, Daniel Ayalew/Lavreniuk, Mykola/Kussul, Nataliia/Nivievskyi, Oleg: Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine, Washington, D.C 2020.

Deininger, K., Ali, D.A., Lavreniuk, M., Kussul, N. und Nivievskyi, O. (2020), Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine, World Bank E-Library Archive, Bd. , The World Bank, Washington, D.C, verfügbar unter:https://doi.org/10.1596/1813-9450-9306.