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Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications
Research article (Food Control, 2018) · cited 66× · AI/ML
Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications
Summary
Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications is a scholarly article[1].
Key Facts
Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/robotics-and-computer-vision-techniques-combined-with-non-invasive-consumer-biometrics-to-assess-quality-traits-from-bee
MLA“Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robotics-and-computer-vision-techniques-combined-with-non-invasive-consumer-biometrics-to-assess-quality-traits-from-bee.
BibTeX@misc{4ortxyz_robotics-and-computer-vision-techniques-combined-with-non-invasive-consumer-biometrics-to-assess-quality-traits-from-bee_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications}}, year = {2026}, url = {https://4ort.xyz/entity/robotics-and-computer-vision-techniques-combined-with-non-invasive-consumer-biometrics-to-assess-quality-traits-from-bee}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications — https://4ort.xyz/entity/robotics-and-computer-vision-techniques-combined-with-non-invasive-consumer-biometrics-to-assess-quality-traits-from-bee (retrieved 2026-05-24)
