Deep learning to classify the ripeness of coffee fruit in the mechanized harvesting process

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Marco Antonio Zanella, Mikel Barrio-Conde, Jaime Gomez-Gil, Javier Manuel Aguiar-Perez, María Ángeles Pérez-Juárez, Fabio Moreira da Silva
Format: Article
Language:English
Published: Universidade de São Paulo 2025-06-01
Series:Scientia Agricola
Subjects:
YOLO
coffee farming
fruit detection
precision agriculture
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162025000100103&lng=en&tlng=en
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items