A large-scale proof-of-concept benchmark for commercial coffee-bean classification using external phenotypic features and advanced machine learning algorithms
- DOI
- 10.1016/j.foodres.2026.120855
- Published
- 2026-12
- Container
- Food Research International
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.foodres.2026.120855,
title = {A large-scale proof-of-concept benchmark for commercial coffee-bean classification using external phenotypic features and advanced machine learning algorithms},
author = {Zhiteng Chen and Zhenhao Zhao and Jian Lin},
year = {2026},
journal = {Food Research International},
doi = {10.1016/j.foodres.2026.120855},
url = {https://doi.org/10.1016/j.foodres.2026.120855}
}RIS
TY - JOUR TI - A large-scale proof-of-concept benchmark for commercial coffee-bean classification using external phenotypic features and advanced machine learning algorithms AU - Zhiteng Chen AU - Zhenhao Zhao AU - Jian Lin PY - 2026 JO - Food Research International DO - 10.1016/j.foodres.2026.120855 UR - https://doi.org/10.1016/j.foodres.2026.120855 ER -
APA
Chen, Z., Zhao, Z., & Lin, J. (2026). A large-scale proof-of-concept benchmark for commercial coffee-bean classification using external phenotypic features and advanced machine learning algorithms. Food Research International. https://doi.org/10.1016/j.foodres.2026.120855
Source records
- crossref · retrieved 2026-11-10T16:41:12.277Z