Fusion of UAV-Acquired Visible Images and Multispectral Data by Applying Machine-Learning Methods in Crop Classification

Fusion of UAV-Acquired Visible Images and Multispectral Data by Applying Machine-Learning Methods in Crop Classification

The sustainable development of agriculture is closely related to the adoption of precision agriculture techniques, and accurate crop classification is a fundamental aspect of this approach. This study explores the application of machine learning techniques to crop classification by integrating RGB i...

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Bibliographic Details
Main Authors: Zuojun Zheng, Jianghao Yuan, Wei Yao, Paul Kwan, Hongxun Yao, Qingzhi Liu, Leifeng Guo
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Agronomy
Subjects:
crop classification
drone remote sensing
RGB imagery
data fusion
random forest algorithm
precision agriculture
Online Access:https://www.mdpi.com/2073-4395/14/11/2670
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