A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions

A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions

Grapevine cluster compactness affects grape composition, fungal disease incidence, and wine quality. Thus far, cluster compactness assessment has been based on visual inspection performed by trained evaluators with very scarce application in the wine industry. The goal of this work was to develop a...

Full description

Bibliographic Details
Main Authors: Fernando Palacios, Maria P. Diago, Javier Tardaguila
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Sensors
Subjects:
image analysis
cluster morphology
RGB
machine learning
non-invasive sensing technologies
proximal sensing
precision viticulture
Online Access:https://www.mdpi.com/1424-8220/19/17/3799

Internet

https://www.mdpi.com/1424-8220/19/17/3799

Similar Items