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Predicting Indonesian coffee origins using untargeted SPME − GCMS - based volatile compounds fingerprinting and machine learning approaches
Research article (European Food Research and Technology, 2023) · cited 17× · AI/ML
Predicting Indonesian coffee origins using untargeted SPME − GCMS - based volatile compounds fingerprinting and machine learning approaches
Summary
Predicting Indonesian coffee origins using untargeted SPME − GCMS - based volatile compounds fingerprinting and machine learning approaches is a scholarly article[1].
Key Facts
Predicting Indonesian coffee origins using untargeted SPME − GCMS - based volatile compounds fingerprinting and machine learning approaches's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Predicting Indonesian coffee origins using untargeted SPME − GCMS - based volatile compounds fingerprinting and machine learning approaches. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-indonesian-coffee-origins-using-untargeted-spme-gcms-based-volatile-compounds-fingerprinting-and-machine-lear
MLA“Predicting Indonesian coffee origins using untargeted SPME − GCMS - based volatile compounds fingerprinting and machine learning approaches.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-indonesian-coffee-origins-using-untargeted-spme-gcms-based-volatile-compounds-fingerprinting-and-machine-lear.
BibTeX@misc{4ortxyz_predicting-indonesian-coffee-origins-using-untargeted-spme-gcms-based-volatile-compounds-fingerprinting-and-machine-lear_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting Indonesian coffee origins using untargeted SPME − GCMS - based volatile compounds fingerprinting and machine learning approaches}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-indonesian-coffee-origins-using-untargeted-spme-gcms-based-volatile-compounds-fingerprinting-and-machine-lear}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting Indonesian coffee origins using untargeted SPME − GCMS - based volatile compounds fingerprinting and machine learning approaches — https://4ort.xyz/entity/predicting-indonesian-coffee-origins-using-untargeted-spme-gcms-based-volatile-compounds-fingerprinting-and-machine-lear (retrieved 2026-05-24)
