TY  - JOUR
AU  - Izquierdo, Manuel
AU  - Lastra Mejías, Miguel
AU  - González Flores, Ester
AU  - Cancilla, John C.
AU  - Aroca Santos, Regina
AU  - Torrecilla Velasco, José Santiago
PY  - 2020
DO  - 10.1016/j.compag.2020.105290
UR  - https://hdl.handle.net/20.500.14352/129845
T2  - Computers and Electronics in Agriculture
AB  - A new and reliable method to detect adulterations is presented in this work by comparing the thermal evolution of pure and adulterated extra virgin olive oil (EVOO) during its cooling process. For this purpose, algorithms based on convolutional neural...
LA  - eng
PB  - Elsevier
KW  - Convolutional neural networks
KW  - Deep learning
KW  - Infrared thermography
KW  - Extra virgin olive oil Edible oils
KW  - Adulteration detection
TI  - Deep thermal imaging to compute the adulteration state of extra virgin olive oil
TY  - journal article
VL  - 171
ER  -