Home › Entities › academia › Hyperspectral machine-learning model for screening tea germplasm resources with drought tolerance

Hyperspectral machine-learning model for screening tea germplasm resources with drought tolerance

Research article (Frontiers in Plant Science, 2022) · cited 11× · AI/ML
academia openalex:W4311056351
Press Enter · cited answer in seconds

Hyperspectral machine-learning model for screening tea germplasm resources with drought tolerance

Summary

Hyperspectral machine-learning model for screening tea germplasm resources with drought tolerance is a scholarly article[1].

Key Facts

  • Hyperspectral machine-learning model for screening tea germplasm resources with drought tolerance's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Hyperspectral machine-learning model for screening tea germplasm resources with drought tolerance. Retrieved May 24, 2026, from https://4ort.xyz/entity/hyperspectral-machine-learning-model-for-screening-tea-germplasm-resources-with-drought-tolerance
MLA “Hyperspectral machine-learning model for screening tea germplasm resources with drought tolerance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hyperspectral-machine-learning-model-for-screening-tea-germplasm-resources-with-drought-tolerance.
BibTeX @misc{4ortxyz_hyperspectral-machine-learning-model-for-screening-tea-germplasm-resources-with-drought-tolerance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hyperspectral machine-learning model for screening tea germplasm resources with drought tolerance}}, year = {2026}, url = {https://4ort.xyz/entity/hyperspectral-machine-learning-model-for-screening-tea-germplasm-resources-with-drought-tolerance}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hyperspectral machine-learning model for screening tea germplasm resources with drought tolerance — https://4ort.xyz/entity/hyperspectral-machine-learning-model-for-screening-tea-germplasm-resources-with-drought-tolerance (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/hyperspectral-machine-learning-model-for-screening-tea-germplasm-resources-with-drought-tolerance · Last refreshed: