Reference : Epidemic models for plants infection under mixed effects of temperature and wetness
Parts of books : Contribution to collective works
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/244727
Epidemic models for plants infection under mixed effects of temperature and wetness
English
Soufi, Adil [> >]
Ait Rami, Mustapha [> >]
El Jarroudi, Mustapha [> >]
El Jarroudi, Moussa mailto [Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Eau, Environnement, Développement >]
6-Feb-2020
Advanced Intelligent Systems for Sustainable Development
Springer
AISC, volume 1103
166-174
Yes
[en] Plant Infections ; Epidemic Models ; Fitting ; Nonlinear Optimization
[en] This paper deals with modeling and fitting for epidemic models and their applications to the field of plants disease. For this purpose, two models are proposed that are expressed as a blend of two functions which reflect the effect 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 efficiency are evaluated for some reported works in the literature. Computational results are provided to show the validity and effectiveness of the proposed epidemic models for some plant infections.
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/2268/244727
10.1007/978-3-030-36664-3_19
https://link.springer.com/chapter/10.1007/978-3-030-36664-3_19

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