PUBLICACIÓN

Chemical-instrumental-sensory traits and data mining for classifying dry-cured Iberian shoulders from pigs with different diets

ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Caballero D., Asensio M., Fernandez C., Reina R., Garcia-Casco J., Martin N., Silva A.

2019 Journal of Food Measurement and Characterization

Chemical Engineering (miscellaneous) (Q2), Food Science (Q2), Industrial and Manufacturing Engineering (Q2), Safety, Risk, Reliability and Quality (Q2)

JCR: 1.648

SJR: 0.492


CITAS

6

DOI

10.1007/s11694-019-00214-4

EID

2-s2.0-85069692767

ISSN

2193-4126

EISSN

2193-4134

BIBTEX

@article{Caballero_2019, doi = {10.1007/s11694-019-00214-4}, url = {https://doi.org/10.1007%2Fs11694-019-00214-4}, year = 2019, month = {jul}, publisher = {Springer Science and Business Media {LLC}}, volume = {13}, number = {4}, pages = {2935--2950}, author = {Daniel Caballero and Mar{\'{\i}}a Asensio and Carlos Fern{\'{a}}ndez and Raquel Reina and Juan Garc{\'{\i}}a-Casco and Noelia Mart{\'{\i}}n and Antonio Silva}, title = {Chemical-instrumental-sensory traits and data mining for classifying dry-cured Iberian shoulders from pigs with different diets}, journal = {Journal of Food Measurement and Characterization} }


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