Classification of Nitrogen-Efficient Wheat Varieties Based on UAV Hyperspectral Remote Sensing

Classification of Nitrogen-Efficient Wheat Varieties Based on UAV Hyperspectral Remote Sensing

Aiming at tackling the challenges of traditional classification methods, which are labor-intensive, time-consuming, and inefficient, a nitrogen-efficient wheat variety classification method using support vector machine-extreme gradient boosting (SVM-XGBoost) based on unmanned aerial vehicle (UAV) hy...

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Bibliographic Details
Main Authors: Yumeng Li, Chunying Wang, Junke Zhu, Qinglong Wang, Ping Liu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Plants
Subjects:
UVA
hyperspectral remote sensing
variety classification
machine learning
ensemble learning
Online Access:https://www.mdpi.com/2223-7747/14/13/1908
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