TY  - JOUR 
AU  - Ebrahimi, Sajad
AU  - Pourdarbani, Razieh
AU  - Sabzi, Sajad
AU  - Rohban, Mohammad H.
AU  - Arribas Sánchez, Juan Ignacio
PY  - 2023
SN  - 2311-7524
UR  - https://uvadoc.uva.es/handle/10324/66602
AB  - Fruit is often bruised during picking, transportation, and packaging, which is an important post-harvest issue especially when dealing with fresh fruit. This paper is aimed at the early, automatic, and non-destructive ternary (three-class) detection...
LA  - eng
PB  - MDPI
KW  - Fruit - Quality
KW  - Frutas - Conservación
KW  - Frutas - Industria y comercio - Calidad - Control
KW  - Hyperspectral imaging
KW  - Image processing - Digital techniques
KW  - Imágenes, Tratamiento de las
KW  - Kiwifruit
KW  - Kiwi
KW  - Machine learning
KW  - Aprendizaje automático
KW  - Near infrared spectroscopy
KW  - Espectroscopia de infrarrojos
KW  - Fruit - Ripening
TI  - From harvest to market: Non-destructive bruise detection in kiwifruit using convolutional neural networks and hyperspectral imaging
DO  - 10.3390/horticulturae9080936
ER  -