CM-MLP: hybrid convmixer-deep MLP architecture for enhanced identification of corn and apple leaf diseases

This study aims to identify diseases impacting the agricultural sector, specifically focusing on corn and apple leaves. We propose a novel hybrid ConvMixer and Deep MLP architecture called CM-MLP that combines the strengths of ConvMixer with various Deep Multi-layer Perceptron (MLP), like MLP-Mixer,...

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Veröffentlicht in:	Neural computing & applications Jg. 37; H. 17; S. 10757 - 10769
Hauptverfasser:	Li, Li-Hua, Tanone, Radius
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.06.2025 Springer Nature B.V
Schlagworte:	Accuracy Artificial Intelligence Classification Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Computer vision Corn Data Mining and Knowledge Discovery Deep learning Hypotheses Image Processing and Computer Vision Leaves Multilayer perceptrons Multilayers Neural networks Plant diseases Probability and Statistics in Computer Science S.I.: Timely Advances of Deep Learning with applications and Data Driven Modeling Special Issue on Timely Advances of Deep Learning with applications and Data Driven Modeling Unmanned aerial vehicles Gradient Centralization MLP-Mixer gMLP ConvMixer FNet
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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