Skip to Main Navigation

Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine (English)

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 in Ukraine. Rotation effects estimated based on combining these data with survey-based yield information point toward statistically significant and economically meaningful effects that differ from what has...
See More

DETAILS

DOWNLOADS

COMPLETE REPORT

Official version of document (may contain signatures, etc)


Citation

Deininger,Klaus W.; Ali,Daniel Ayalew; Kussul,Nataliia; Lavreniuk,Mykola; Nivievskyi,Oleg.

Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine (English). Policy Research working paper|no. WPS 9306 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/459481593442273789

This document is being processed or is not available.