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...
Saved in:
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: | |
Online Access: | https://www.mdpi.com/1424-8220/25/2/431 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Estimating Nitrogen and Chlorophyll Content in Corn Using Spectral Vegetation Indices Derived From UAV Multispectral Imagery
by: Nikrooz Bagheri, et al.
Published: (2024-06-01) -
Estimation of Tree Vitality Reduced by Pine Needle Disease Using Multispectral Drone Images
by: Langning Huo, et al.
Published: (2025-01-01) -
Improving UAV Aerial Imagery Detection Method via Superresolution Synergy
by: Dianwei Wang, et al.
Published: (2025-01-01) -
Minimizing Seam Lines in UAV Multispectral Image Mosaics Utilizing Irradiance, Vignette, and BRDF
by: Hoyong Ahn, et al.
Published: (2025-01-01) -
Influence of ground control point reliability and distribution on UAV photogrammetric 3D mapping accuracy
by: Haonan Zhong, et al.
Published: (2025-01-01)