TY  - JOUR 
AU  - Venturini, Francesca
AU  - Martos Núñez, María Vanesa
PY  - 2022
UR  - http://hdl.handle.net/10481/76535
AB  - One of the main challenges for olive oil producers is the ability to assess oil quality regularly during the production
cycle. The quality of olive oil is evaluated through a series of parameters that can be determined, up to
now, only through...
LA  - eng
PB  - Elsevier
KW  - Convolutional Neural Networks
KW  - Artificial intelligence
KW  - Machine learning
KW  - Fluorescence spectroscopy
KW  - Optical sensor
KW  - Olive oil
KW  - Quality control 2010 MSC
KW  - 00-01
KW  - 99-00
TI  - Extraction of physicochemical properties from the fluorescence spectrum with 1D convolutional neural networks: Application to olive oil
DO  - 10.1016/j.jfoodeng.2022.111198
ER  -