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Research Article | Open Access

A deep learning-based model for the propagation mechanism of southern corn rust

Keqin Su1, Alain Miranville2,3, Jie Cao1, Xinguang Yang2( )
College of Information and Management Science, Henan Agricultural University, China
Department of Mathematics and Statistics, Henan Normal University, Xinxiang 453007, China
Laboratoire de Mathématiques Appliqués du Havre, Université Le Havre Normandie, Le Havre 76600, France
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Abstract

A new mathematical model based on differential equations and deep learning is proposed to study the propagation mechanism of southern corn rust (SCR). Equilibrium and stability analyses of system are conducted in detail. Compared with the quantitative assessment of SCR, numerical parameter estimation and the corresponding interpretation are given.

Keywords

southern corn rustmathematical modelingdeep learning

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Electronic Research Archive
Volume 34 Issue 3,
March 2026
Pages 1653-1670
DOI: 10.3934/era.2026075

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Cite this article:
Su K, Miranville A, Cao J, et al. A deep learning-based model for the propagation mechanism of southern corn rust. Electronic Research Archive, 2026, 34(3): 1653-1670. https://doi.org/10.3934/era.2026075

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Received: 15 December 2025
Revised: 09 February 2026
Accepted: 11 February 2026
Published: 27 February 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)