Prediction of Walnut Moisture Content Using Impact Acoustics, Physical Dimensions, and Machine Learning

Aref Sepehr, Maciej Zaborowicz, Francesco Marinello, Lorenzo Guerrini

Open source

DOI: 10.3390/foods15172951
Published: 2026-08-22
Container: Foods
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/foods15172951,
  title = {Prediction of Walnut Moisture Content Using Impact Acoustics, Physical Dimensions, and Machine Learning},
  author = {Aref Sepehr and Maciej Zaborowicz and Francesco Marinello and Lorenzo Guerrini},
  year = {2026},
  journal = {Foods},
  doi = {10.3390/foods15172951},
  url = {https://doi.org/10.3390/foods15172951}
}

RIS

TY  - JOUR
TI  - Prediction of Walnut Moisture Content Using Impact Acoustics, Physical Dimensions, and Machine Learning
AU  - Aref Sepehr
AU  - Maciej Zaborowicz
AU  - Francesco Marinello
AU  - Lorenzo Guerrini
PY  - 2026
JO  - Foods
DO  - 10.3390/foods15172951
UR  - https://doi.org/10.3390/foods15172951
ER  -

APA

Sepehr, A., Zaborowicz, M., Marinello, F., & Guerrini, L. (2026). Prediction of Walnut Moisture Content Using Impact Acoustics, Physical Dimensions, and Machine Learning. Foods. https://doi.org/10.3390/foods15172951

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crossref · retrieved 2026-09-25T22:56:44.380Z