Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines

Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines

Assessing vines’ vigour is essential for vineyard management and automatization of viticulture machines, including shaking adjustments of berry harvesters during grape harvest or leaf pruning applications. To address these problems, based on a standardized growth class assessment, labeled ground tru...

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Bibliographic Details
Main Authors: Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, Rebecca Retzlaff
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
precision viticulture
vine vigour
remote sensing
UAV (Unmanned Aerial Vehicle)
photogrammetry
multispectral imagery
Online Access:https://www.mdpi.com/1424-8220/25/2/431
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