Nectarine Disease Identification Based on Color Features and Label Sparse Dictionary Learning with Hyperspectral Images
Ronghui Miao,
Jinlong Wu,
Hua Yang
et al.
Abstract:Fruit cracking and rust spots are common diseases of nectarines that seriously affect their yield and quality. Therefore, it is essential to construct fast and accurate disease-identification models for agricultural products. In this paper, a sparse dictionary learning method was proposed to realize the rapid and nondestructive identification of nectarine disease based on multiple color features combined with improved LK-SVD (Label K-Singular Value Decomposition). According to the color characteristics of the … Show more
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