A Stride Toward Wine Yield Estimation from Images: Metrological Validation of Grape Berry Number, Radius, and Volume Estimation

A Stride Toward Wine Yield Estimation from Images: Metrological Validation of Grape Berry Number, Radius, and Volume Estimation

Yield estimation is a key point theme for precision agriculture, especially for small fruits and in-field scenarios. This paper focuses on the metrological validation of a novel deep-learning model that robustly estimates both the number and the radii of grape berries in vineyards using color images...

Full description

Saved in:
Bibliographic Details
Main Authors: Bernardo Lanza, Davide Botturi, Alessandro Gnutti, Matteo Lancini, Cristina Nuzzi, Simone Pasinetti
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
measurement science
machine vision
viticulture
deep learning
fruit counting
fruit size estimation
Online Access:https://www.mdpi.com/1424-8220/24/22/7305
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1424-8220/24/22/7305

Similar Items