[en] This paper deals with modeling and tting for epedimic models and their ap-
plications to the eld of plants disease. For this purpose, two models are proposed that are
expressed as a blend of two functions which re
ect the e ect of the temperature and the
wetness. In addition, we provide an original method to t the proposed models by employing
simple techniques that can constitute an easy-to-use tool for simulation, prediction and/or
control. Moreover, the method accuracy and e ciency are evaluated for some reported works
in the literature. Computational results are provided to show the validity and e ectiveness
of the proposed epidemic models for some plant infections.
Disciplines :
Computer science
Author, co-author :
Soufi, Adil
Ait Rami, Mustapha
El Jarroudi, Mustapha
El Jarroudi, Moussa ; Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Eau, Environnement, Développement
Language :
English
Title :
Epidemic models for plants infection under mixed effects of temperature and wetness
Publication date :
08 July 2019
Event name :
2 ND International Conference. Digital Transformation & Artificial Intelligence are level of the industrial revolution 4.0.
Event date :
8-11 July 2019
Audience :
International
Main work title :
Advanced Intelligent Systems for Sustainable Development
