TY  - JOUR
AU  - Izquierdo, Manuel
AU  - Lastra Mejías, Miguel
AU  - González Flores, Ester
AU  - Pradana López, Sandra
AU  - Cancilla, John C.
AU  - Torrecilla Velasco, José Santiago
PY  - 2020
DO  - 10.1016/j.foodcont.2019.106971
UR  - https://hdl.handle.net/20.500.14352/129843
T2  - Food Control
AB  - In this research, more than 27,000 images (samples) of five different types of rice (Oryza sativa L.) have been used to design and validate a deep learning-based system to carry out their classification. A typical photographic camera was used to...
LA  - eng
PB  - Elsevier
KW  - Images
KW  - Rice characterization
KW  - Convolutional neural networks
KW  - Food quality
TI  - Visible imaging to convolutionally discern and authenticate varieties of rice and their derived flours
TY  - journal article
VL  - 110
ER  -