Plant Leaf Disease Recognition Using Depth-Wise Separable Convolution-Based Models

Plant Leaf Disease Recognition Using Depth-Wise Separable Convolution-Based Models

Proper plant leaf disease (PLD) detection is challenging in complex backgrounds and under different capture conditions. For this reason, initially, modified adaptive centroid-based segmentation (ACS) is used to trace the proper region of interest (ROI). Automatic initialization of the number of clus...

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Bibliographic Details
Main Authors:	Syed Mohammad Minhaz Hossain, Kaushik Deb, Pranab Kumar Dhar, Takeshi Koshiba
Format:	Article
Language:	English
Published:	MDPI AG 2021-03-01
Series:	Symmetry
Subjects:	plant leaf disease depth-wise separable convolution modified adaptive centroid-based segmentation computational latency model size
Online Access:	https://www.mdpi.com/2073-8994/13/3/511

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