TY  - JOUR 
AU  - Zanella, Marco Antonio
AU  - Barrio Conde, Mikel
AU  - Gómez Gil, Jaime
AU  - Aguiar Pérez, Javier Manuel
AU  - Pérez Juárez, María Ángeles
AU  - Silva, Fabio Moreira de
PY  - 2025
SN  - 1678-992X
UR  - https://uvadoc.uva.es/handle/10324/81785
AB  - The coffee industry is a vital sector of global agriculture. Coffee is one of
the most widely traded plant products in the world. Coffee fruit ripeness affects the taste
and aroma of the final brewed beverage, coffee farms’ overall yield and...
LA  - eng
PB  - Piracicaba SP: Universidade de São Paulo Escola Superior de Agricultura Luiz de Queiroz
KW  - Ciencias agrarias
KW  - Cultivo de café
KW  - Procesos mecanizados de cosecha
KW  - Deep Learning
KW  - YOLO
KW  - Cultivo de café
KW  - Detección de frutos
KW  - Agricultura de precisión
TI  - Deep learning to classify the ripeness of coffee fruit in the mechanized harvesting process
DO  - 10.1590/1678-992X-2024-0156
ER  -