Identification of Cotton Leaf Mite Damage Stages Using UAV Multispectral Images and a Stacked Ensemble Method

Cotton leaf mites are pests that cause irreparable damage to cotton and pose a severe threat to the cotton yield, and the application of unmanned aerial vehicles (UAVs) to monitor the incidence of cotton leaf mites across a vast region is important for cotton leaf mite prevention. In this work, 52 v...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Shifeng Fan, Qiang He, Yongqin Chen, Xin Xu, Wei Guo, Yanhui Lu, Jie Liu, Hongbo Qiao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-10-01
Schriftenreihe:	Agriculture
Schlagworte:	cotton spider mites machine learning UAV stacking integration SHAP
Online-Zugang:	https://www.mdpi.com/2077-0472/15/21/2277
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