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

Sepehr A, Zaborowicz M, Marinello F, Guerrini L

DOI: 10.3390/foods15172951
Published: 2026 Aug 22
Container: Foods (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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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 = {Sepehr A and Zaborowicz M and Marinello F and Guerrini L},
  year = {2026},
  journal = {Foods (Basel, Switzerland)},
  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  - Sepehr A
AU  - Zaborowicz M
AU  - Marinello F
AU  - Guerrini L
PY  - 2026
JO  - Foods (Basel, Switzerland)
DO  - 10.3390/foods15172951
UR  - https://doi.org/10.3390/foods15172951
ER  -

APA

A, S., M, Z., F, M., & L, G. (2026). Prediction of Walnut Moisture Content Using Impact Acoustics, Physical Dimensions, and Machine Learning.. Foods (Basel, Switzerland). https://doi.org/10.3390/foods15172951

Source records

pubmed · retrieved 2026-11-10T14:51:24.365Z