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Potential of hyperspectral data and machine learning algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau
Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2020) · cited 28× · AI/ML
Potential of hyperspectral data and machine learning algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau
Summary
Potential of hyperspectral data and machine learning algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau is a scholarly article[1].
Key Facts
Potential of hyperspectral data and machine learning algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Potential of hyperspectral data and machine learning algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau. Retrieved May 24, 2026, from https://4ort.xyz/entity/potential-of-hyperspectral-data-and-machine-learning-algorithms-to-estimate-the-forage-carbon-nitrogen-ratio-in-an-alpin
MLA“Potential of hyperspectral data and machine learning algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/potential-of-hyperspectral-data-and-machine-learning-algorithms-to-estimate-the-forage-carbon-nitrogen-ratio-in-an-alpin.
BibTeX@misc{4ortxyz_potential-of-hyperspectral-data-and-machine-learning-algorithms-to-estimate-the-forage-carbon-nitrogen-ratio-in-an-alpin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Potential of hyperspectral data and machine learning algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau}}, year = {2026}, url = {https://4ort.xyz/entity/potential-of-hyperspectral-data-and-machine-learning-algorithms-to-estimate-the-forage-carbon-nitrogen-ratio-in-an-alpin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Potential of hyperspectral data and machine learning algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau — https://4ort.xyz/entity/potential-of-hyperspectral-data-and-machine-learning-algorithms-to-estimate-the-forage-carbon-nitrogen-ratio-in-an-alpin (retrieved 2026-05-24)
