Home ›
Entities
› academia
› Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea
Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea
Research article (The Science of The Total Environment, 2021) · cited 138× · AI/ML
Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea
Summary
Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea is a scholarly article[1].
Key Facts
Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-rice-yield-at-pixel-scale-through-synthetic-use-of-crop-and-deep-learning-models-with-satellite-data-in-south
MLA“Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-rice-yield-at-pixel-scale-through-synthetic-use-of-crop-and-deep-learning-models-with-satellite-data-in-south.
BibTeX@misc{4ortxyz_predicting-rice-yield-at-pixel-scale-through-synthetic-use-of-crop-and-deep-learning-models-with-satellite-data-in-south_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-rice-yield-at-pixel-scale-through-synthetic-use-of-crop-and-deep-learning-models-with-satellite-data-in-south}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea — https://4ort.xyz/entity/predicting-rice-yield-at-pixel-scale-through-synthetic-use-of-crop-and-deep-learning-models-with-satellite-data-in-south (retrieved 2026-05-24)
