Standard
Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging. / Munera, Sandra; Amigo, Jose Manuel; Blasco, Jose; Cubero, Sergio; Talens, Pau; Aleixos, Nuria.
In:
Journal of Food Engineering, Vol. 214, 2017, p. 29-39.
Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
Munera, S, Amigo, JM, Blasco, J, Cubero, S, Talens, P & Aleixos, N 2017, '
Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging',
Journal of Food Engineering, vol. 214, pp. 29-39.
https://doi.org/10.1016/j.jfoodeng.2017.06.031
APA
Munera, S., Amigo, J. M., Blasco, J., Cubero, S., Talens, P., & Aleixos, N. (2017).
Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging.
Journal of Food Engineering,
214, 29-39.
https://doi.org/10.1016/j.jfoodeng.2017.06.031
Vancouver
Munera S, Amigo JM, Blasco J, Cubero S, Talens P, Aleixos N.
Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging.
Journal of Food Engineering. 2017;214:29-39.
https://doi.org/10.1016/j.jfoodeng.2017.06.031
Author
Munera, Sandra ; Amigo, Jose Manuel ; Blasco, Jose ; Cubero, Sergio ; Talens, Pau ; Aleixos, Nuria. / Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging. In: Journal of Food Engineering. 2017 ; Vol. 214. pp. 29-39.
Bibtex
@article{52d225f38a65420195223b3eb1b1437f,
title = "Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging",
keywords = "Stone fruit, Internal quality, Ripeness, Monitoring, Hyperspectral image, Computer vision",
author = "Sandra Munera and Amigo, {Jose Manuel} and Jose Blasco and Sergio Cubero and Pau Talens and Nuria Aleixos",
year = "2017",
doi = "10.1016/j.jfoodeng.2017.06.031",
language = "English",
volume = "214",
pages = "29--39",
journal = "Journal of Food Engineering",
issn = "0260-8774",
publisher = "Elsevier",
}
RIS
TY - JOUR
T1 - Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging
AU - Munera, Sandra
AU - Amigo, Jose Manuel
AU - Blasco, Jose
AU - Cubero, Sergio
AU - Talens, Pau
AU - Aleixos, Nuria
PY - 2017
Y1 - 2017
KW - Stone fruit
KW - Internal quality
KW - Ripeness
KW - Monitoring
KW - Hyperspectral image
KW - Computer vision
U2 - 10.1016/j.jfoodeng.2017.06.031
DO - 10.1016/j.jfoodeng.2017.06.031
M3 - Journal article
VL - 214
SP - 29
EP - 39
JO - Journal of Food Engineering
JF - Journal of Food Engineering
SN - 0260-8774
ER -