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Hyperspectral Imaging Combined with a Dual-Channel Feature Fusion Model for Hierarchical Detection of Rice Blast

Rice blast caused by <i>Magnaporthe oryzae</i> is a major cause of yield reductions and quality deterioration in rice. Therefore, early detection of the disease is necessary for controlling the spread of rice blast. This study proposed a dual-channel feature fusion model (DCFM) to achieve effective...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Yuan Qi, Tan Liu, Songlin Guo, Peiyan Wu, Jun Ma, Qingyun Yuan, Weixiang Yao, Tongyu Xu
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-08-01
Schriftenreihe:Agriculture
Schlagworte:
rice blast
hyperspectral
deep learning
feature fusion
severity classification
Online-Zugang:https://www.mdpi.com/2077-0472/15/15/1673
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