Home ›
Entities
› academia
› An explainable machine learning for geographical origin traceability of mussels Mytilus edulis based on stable isotope ratio and compositions of C, N, O and H
An explainable machine learning for geographical origin traceability of mussels Mytilus edulis based on stable isotope ratio and compositions of C, N, O and H
Research article (Journal of Food Composition and Analysis, 2023) · cited 16× · AI/ML
An explainable machine learning for geographical origin traceability of mussels Mytilus edulis based on stable isotope ratio and compositions of C, N, O and H
Summary
An explainable machine learning for geographical origin traceability of mussels Mytilus edulis based on stable isotope ratio and compositions of C, N, O and H is a scholarly article[1].
Key Facts
An explainable machine learning for geographical origin traceability of mussels Mytilus edulis based on stable isotope ratio and compositions of C, N, O and H'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). An explainable machine learning for geographical origin traceability of mussels Mytilus edulis based on stable isotope ratio and compositions of C, N, O and H. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-explainable-machine-learning-for-geographical-origin-traceability-of-mussels-mytilus-edulis-based-on-stable-isotope-r
MLA“An explainable machine learning for geographical origin traceability of mussels Mytilus edulis based on stable isotope ratio and compositions of C, N, O and H.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-explainable-machine-learning-for-geographical-origin-traceability-of-mussels-mytilus-edulis-based-on-stable-isotope-r.
BibTeX@misc{4ortxyz_an-explainable-machine-learning-for-geographical-origin-traceability-of-mussels-mytilus-edulis-based-on-stable-isotope-r_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An explainable machine learning for geographical origin traceability of mussels Mytilus edulis based on stable isotope ratio and compositions of C, N, O and H}}, year = {2026}, url = {https://4ort.xyz/entity/an-explainable-machine-learning-for-geographical-origin-traceability-of-mussels-mytilus-edulis-based-on-stable-isotope-r}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An explainable machine learning for geographical origin traceability of mussels Mytilus edulis based on stable isotope ratio and compositions of C, N, O and H — https://4ort.xyz/entity/an-explainable-machine-learning-for-geographical-origin-traceability-of-mussels-mytilus-edulis-based-on-stable-isotope-r (retrieved 2026-05-24)
