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 [cd], World Bank E-Library Archive. Washington, D.C: The World Bank. doi:10.1596/1813-9450-9306.
Chicago Manual of Style 17th edition (full note)Deininger, Klaus, Daniel Ayalew Ali, Mykola Lavreniuk, Nataliia Kussul, und Oleg Nivievskyi. Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine. Cd. World Bank E-Library Archive. Washington, D.C: The World Bank, [2020?], Washington, D.C: The World Bank, [2020?]. https://doi.org/10.1596/1813-9450-9306.
American Psychological Association 7th editionDeininger, 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 [Cd]. In World Bank E-Library Archive. The World Bank. https://doi.org/10.1596/1813-9450-9306
Modern Language Association 9th editionDeininger, 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.
ISO-690 (author-date, Deutsch)DEININGER, Klaus, Daniel Ayalew ALI, Mykola LAVRENIUK, Nataliia KUSSUL und Oleg NIVIEVSKYI, 2020. Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine. Washington, D.C: The World Bank