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Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine / Deininger, Klaus.
World Bank Open Knowledge Repository (formerly "World Bank E-Library Publications") Available online
View online- Format:
- Book
- Government document
- Author/Creator:
- Deininger, Klaus.
- Series:
- Policy research working papers.
- World Bank e-Library.
- Language:
- English
- Subjects (All):
- Agricultural Productivity.
- Agricultural Sector Economics.
- Agriculture.
- Climate Change and Agriculture.
- Crop Rotation.
- Crops and Crop Management Systems.
- Earth Sciences and GIS.
- Machine Learning.
- Satellite Imagery.
- Science and Technology Development.
- Local Subjects:
- Agricultural Productivity.
- Agricultural Sector Economics.
- Agriculture.
- Climate Change and Agriculture.
- Crop Rotation.
- Crops and Crop Management Systems.
- Earth Sciences and GIS.
- Machine Learning.
- Satellite Imagery.
- Science and Technology Development.
- Physical Description:
- 1 online resource (29 pages)
- Other Title:
- Using Machine Learning to Assess Yield Impacts of Crop Rotation
- Place of Publication:
- Washington, D.C. : The World Bank, 2020.
- System Details:
- data file
- Summary:
- 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 been reported in the literature, highlighting the value of this approach. Independently derived indices of vegetative development and soil water content produce similar results, not only supporting the robustness of the results, but also suggesting that the opportunities for spatial and temporal disaggregation inherent in such data offer tremendous unexploited opportunities for policy-relevant analysis.
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