Abstract: In this study machine learning methods were applied to RGB data obtained by an unmanned aerial vehicle (UAV) to assess this effectiveness in ...
Jun 13, 2024 · Pádua et al., using only data derived from an RGB sensor obtained from UAVs, applying three machine learning techniques-support vector machine ( ...
In this study, a cost-effective light-weight UAV was used to acquire RGB imagery aiming the classification of grapevine vegetation and other features usually ...
The trained models were then used to classify vineyards objects, generated from an object-based image analysis (OBIA) approach, into the four classes.
Vineyard Classification Using Machine Learning Techniques Applied to RGB-UAV Imagery ... Authors: Luis Padua; Telmo Adao; Jonas Hruska; Nathalie Guimaraes; Pedro ...
Machine learning for vineyard classification using different UAV-based datasets. ... OBIA method to perform vineyard classification. ... Artificial neural networks ...
Vine detection employs the YOLO (You Only Look Once) deep learning algorithm, achieving a remarkable 90% accuracy by analysing UAV imagery with various spectral ...
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Oct 22, 2024 · The trained models were then used to classify vineyards objects, generated from an object-based image analysis (OBIA) approach, into the four ...
Vineyard Water Status Estimation Using Multispectral Imagery from an UAV Platform and Machine Learning Algorithms for Irrigation Scheduling Management.
The trained models were then used to classify vineyards objects, generated from an object-based image analysis (OBIA) approach, into the four classes.
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