Reference : Epidemic models for plants infection under mixed effects of temperature and wetness
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/242963
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 >]
8-Jul-2019
Advanced Intelligent Systems for Sustainable Development
AI2SD2019
Yes
International
2 ND International Conference. Digital Transformation & Artificial Intelligence are level of the industrial revolution 4.0.
8-11 July 2019
[en] Plant Infections ; Epidemic Models ; Fitting ; Nonlinear Optimization
[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.
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/2268/242963

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