Home ›
Entities
› academia
› Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models
Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models
Research article (Scientific Reports, 2024) · cited 16× · AI/ML
Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models
Summary
Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models is a scholarly article[1].
Key Facts
Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models'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). Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models. Retrieved May 24, 2026, from https://4ort.xyz/entity/securing-chinas-rice-harvest-unveiling-dominant-factors-in-production-using-multi-source-data-and-hybrid-machine-learnin
MLA“Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/securing-chinas-rice-harvest-unveiling-dominant-factors-in-production-using-multi-source-data-and-hybrid-machine-learnin.
BibTeX@misc{4ortxyz_securing-chinas-rice-harvest-unveiling-dominant-factors-in-production-using-multi-source-data-and-hybrid-machine-learnin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models}}, year = {2026}, url = {https://4ort.xyz/entity/securing-chinas-rice-harvest-unveiling-dominant-factors-in-production-using-multi-source-data-and-hybrid-machine-learnin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models — https://4ort.xyz/entity/securing-chinas-rice-harvest-unveiling-dominant-factors-in-production-using-multi-source-data-and-hybrid-machine-learnin (retrieved 2026-05-24)
