Authenticity markers of cultivated blueberries (Vaccinium sp.) and European wild blueberry (V. myrtillus) assessed by hyperspectral imaging and machine learning algorithms
- DOI
- 10.1016/j.afres.2024.100597
- Published
- 2024-12
- Container
- Applied Food Research
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.afres.2024.100597,
title = {Authenticity markers of cultivated blueberries (Vaccinium sp.) and European wild blueberry (V. myrtillus) assessed by hyperspectral imaging and machine learning algorithms},
author = {Pekka Jounela and Jouni Karhu and Saila Karhu and Anna-Liisa Välimaa},
year = {2024},
journal = {Applied Food Research},
doi = {10.1016/j.afres.2024.100597},
url = {https://doi.org/10.1016/j.afres.2024.100597}
}RIS
TY - JOUR TI - Authenticity markers of cultivated blueberries (Vaccinium sp.) and European wild blueberry (V. myrtillus) assessed by hyperspectral imaging and machine learning algorithms AU - Pekka Jounela AU - Jouni Karhu AU - Saila Karhu AU - Anna-Liisa Välimaa PY - 2024 JO - Applied Food Research DO - 10.1016/j.afres.2024.100597 UR - https://doi.org/10.1016/j.afres.2024.100597 ER -
APA
Jounela, P., Karhu, J., Karhu, S., & Välimaa, A. (2024). Authenticity markers of cultivated blueberries (Vaccinium sp.) and European wild blueberry (V. myrtillus) assessed by hyperspectral imaging and machine learning algorithms. Applied Food Research. https://doi.org/10.1016/j.afres.2024.100597
Source records
- crossref · retrieved 2026-09-26T02:39:37.029Z