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Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning
Research article (International Journal of Applied Earth Observation and Geoinformation, 2023) · cited 23× · AI/ML
Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning
Summary
Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning is a scholarly article[1].
Key Facts
Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessing-damage-to-agricultural-fields-from-military-actions-in-ukraine-an-integrated-approach-using-statistical-indica
MLA“Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessing-damage-to-agricultural-fields-from-military-actions-in-ukraine-an-integrated-approach-using-statistical-indica.
BibTeX@misc{4ortxyz_assessing-damage-to-agricultural-fields-from-military-actions-in-ukraine-an-integrated-approach-using-statistical-indica_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/assessing-damage-to-agricultural-fields-from-military-actions-in-ukraine-an-integrated-approach-using-statistical-indica}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning — https://4ort.xyz/entity/assessing-damage-to-agricultural-fields-from-military-actions-in-ukraine-an-integrated-approach-using-statistical-indica (retrieved 2026-05-24)
