A Ground-based Platform for Reliable Estimates of Fruit Number, Size, and Color in Stone Fruit Orchards

A Ground-based Platform for Reliable Estimates of Fruit Number, Size, and Color in Stone Fruit Orchards

Automatic in-field fruit recognition techniques can be used to estimate fruit number, fruit size, fruit skin color, and yield in fruit crops. Fruit color and size represent two of the most important fruit quality parameters in stone fruit (Prunus sp.). This study aimed to evaluate the reliability of...

Full description

Bibliographic Details
Main Authors: Muhammad S. Islam, Alessio Scalisi, Mark Glenn O’Connell, Peter Morton, Steve Scheding, James Underwood, Ian Goodwin
Format: Article
Language:English
Published: American Society for Horticultural Science (ASHS) 2022-10-01
Series:HortTechnology
Subjects:
artificial intelligence
computer vision
crop estimation
hue angle
machine learning
peach
prunus sp.
Online Access:https://journals.ashs.org/horttech/view/journals/horttech/32/6/article-p510.xml

Similar Items

Similar Items