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Cognitive spectroscopy for the classification of rice varieties: A comparison of machine learning and deep learning approaches in analysing long-wave near-infrared hyperspectral images of brown and milled samples
Cognitive spectroscopy for the classification of rice varieties: A comparison of machine learning and deep learning approaches in analysing long-wave near-infrared hyperspectral images of brown and milled samples
Summary
Cognitive spectroscopy for the classification of rice varieties: A comparison of machine learning and deep learning approaches in analysing long-wave near-infrared hyperspectral images of brown and milled samples is a scholarly article[1].
Key Facts
Cognitive spectroscopy for the classification of rice varieties: A comparison of machine learning and deep learning approaches in analysing long-wave near-infrared hyperspectral images of brown and milled samples'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). Cognitive spectroscopy for the classification of rice varieties: A comparison of machine learning and deep learning approaches in analysing long-wave near-infrared hyperspectral images of brown and milled samples. Retrieved May 24, 2026, from https://4ort.xyz/entity/cognitive-spectroscopy-for-the-classification-of-rice-varieties-a-comparison-of-machine-learning-and-deep-learning-appro
MLA“Cognitive spectroscopy for the classification of rice varieties: A comparison of machine learning and deep learning approaches in analysing long-wave near-infrared hyperspectral images of brown and milled samples.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cognitive-spectroscopy-for-the-classification-of-rice-varieties-a-comparison-of-machine-learning-and-deep-learning-appro.
BibTeX@misc{4ortxyz_cognitive-spectroscopy-for-the-classification-of-rice-varieties-a-comparison-of-machine-learning-and-deep-learning-appro_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cognitive spectroscopy for the classification of rice varieties: A comparison of machine learning and deep learning approaches in analysing long-wave near-infrared hyperspectral images of brown and milled samples}}, year = {2026}, url = {https://4ort.xyz/entity/cognitive-spectroscopy-for-the-classification-of-rice-varieties-a-comparison-of-machine-learning-and-deep-learning-appro}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Cognitive spectroscopy for the classification of rice varieties: A comparison of machine learning and deep learning approaches in analysing long-wave near-infrared hyperspectral images of brown and milled samples — https://4ort.xyz/entity/cognitive-spectroscopy-for-the-classification-of-rice-varieties-a-comparison-of-machine-learning-and-deep-learning-appro (retrieved 2026-05-24)