Home ›
Entities
› academia
› Comparative analysis of deep learning and machine learning-based models for simultaneous prediction of minerals in perilla (Perilla frutescens L.) seeds using near-infrared reflectance spectroscopy
Comparative analysis of deep learning and machine learning-based models for simultaneous prediction of minerals in perilla (Perilla frutescens L.) seeds using near-infrared reflectance spectroscopy
Research article (Journal of Food Composition and Analysis, 2024) · cited 15× · AI/ML
Comparative analysis of deep learning and machine learning-based models for simultaneous prediction of minerals in perilla (Perilla frutescens L.) seeds using near-infrared reflectance spectroscopy
Summary
Comparative analysis of deep learning and machine learning-based models for simultaneous prediction of minerals in perilla (Perilla frutescens L.) seeds using near-infrared reflectance spectroscopy is a scholarly article[1].
Key Facts
Comparative analysis of deep learning and machine learning-based models for simultaneous prediction of minerals in perilla (Perilla frutescens L.) seeds using near-infrared reflectance spectroscopy'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). Comparative analysis of deep learning and machine learning-based models for simultaneous prediction of minerals in perilla (Perilla frutescens L.) seeds using near-infrared reflectance spectroscopy. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparative-analysis-of-deep-learning-and-machine-learning-based-models-for-simultaneous-prediction-of-minerals-in-peril
MLA“Comparative analysis of deep learning and machine learning-based models for simultaneous prediction of minerals in perilla (Perilla frutescens L.) seeds using near-infrared reflectance spectroscopy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparative-analysis-of-deep-learning-and-machine-learning-based-models-for-simultaneous-prediction-of-minerals-in-peril.
BibTeX@misc{4ortxyz_comparative-analysis-of-deep-learning-and-machine-learning-based-models-for-simultaneous-prediction-of-minerals-in-peril_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparative analysis of deep learning and machine learning-based models for simultaneous prediction of minerals in perilla (Perilla frutescens L.) seeds using near-infrared reflectance spectroscopy}}, year = {2026}, url = {https://4ort.xyz/entity/comparative-analysis-of-deep-learning-and-machine-learning-based-models-for-simultaneous-prediction-of-minerals-in-peril}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparative analysis of deep learning and machine learning-based models for simultaneous prediction of minerals in perilla (Perilla frutescens L.) seeds using near-infrared reflectance spectroscopy — https://4ort.xyz/entity/comparative-analysis-of-deep-learning-and-machine-learning-based-models-for-simultaneous-prediction-of-minerals-in-peril (retrieved 2026-05-24)
