Deep learning to classify the ripeness of coffee fruit in the mechanized harvesting process
ABSTRACT 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 economic viability. Traditional methods of assess...
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| Main Authors: | Marco Antonio Zanella, Mikel Barrio-Conde, Jaime Gomez-Gil, Javier Manuel Aguiar-Perez, María Ángeles Pérez-Juárez, Fabio Moreira da Silva |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade de São Paulo
2025-06-01
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| Series: | Scientia Agricola |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162025000100103&lng=en&tlng=en |
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