A high-throughput ResNet CNN approach for automated grapevine leaf hair quantification

A high-throughput ResNet CNN approach for automated grapevine leaf hair quantification

Abstract The hairiness of the leaves is an essential morphological feature within the genus Vitis that can serve as a physical barrier. A high leaf hair density present on the abaxial surface of the grapevine leaves influences their wettability by repelling forces, thus preventing pathogen attack su...

Full description

Saved in:
Bibliographic Details
Main Authors: Nagarjun Malagol, Tanuj Rao, Anna Werner, Reinhard Töpfer, Ludger Hausmann
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Grapevine
Leaf hair
Phenotyping
CNN
Vitis
Online Access:https://doi.org/10.1038/s41598-025-85336-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items