Plant Microbe Interaction—Predicting the Pathogen Internalization Through Stomata Using Computational Neural Network Modeling

Plant Microbe Interaction—Predicting the Pathogen Internalization Through Stomata Using Computational Neural Network Modeling

Foodborne disease presents a substantial challenge to researchers, as foliar water intake greatly influences pathogen internalization via stomata. Comprehending plant–pathogen interactions, especially under fluctuating humidity and temperature circumstances, is crucial for formulating ways to preven...

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Bibliographic Details
Main Authors: Linze Li, Shakeel Ahmed, Mukhtar Iderawumi Abdulraheem, Fida Hussain, Hao Zhang, Junfeng Wu, Vijaya Raghavan, Lulu Xu, Geng Kuan, Jiandong Hu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Foods
Subjects:
plant–pathogen interaction
foodborne illness
foliar water uptake
computational modeling
neural networking
Online Access:https://www.mdpi.com/2304-8158/13/23/3848
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