Home ›
Entities
› academia
› Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks
Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks
Research article (Sensors, 2023) · cited 19× · AI/ML
Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks
Summary
Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks is a scholarly article[1].
Key Facts
Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks'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). Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/rapid-determination-of-wine-grape-maturity-level-from-ph-titratable-acidity-and-sugar-content-using-non-destructive-in-s
MLA“Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rapid-determination-of-wine-grape-maturity-level-from-ph-titratable-acidity-and-sugar-content-using-non-destructive-in-s.
BibTeX@misc{4ortxyz_rapid-determination-of-wine-grape-maturity-level-from-ph-titratable-acidity-and-sugar-content-using-non-destructive-in-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/rapid-determination-of-wine-grape-maturity-level-from-ph-titratable-acidity-and-sugar-content-using-non-destructive-in-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks — https://4ort.xyz/entity/rapid-determination-of-wine-grape-maturity-level-from-ph-titratable-acidity-and-sugar-content-using-non-destructive-in-s (retrieved 2026-05-24)
