@Article{cmc.2020.08838,
AUTHOR = {Kamaledin Abodayeh, Ali Raza, Muhammad Shoaib Arif, *, Muhammad Rafiq, Mairaj Bibi, Rabia Fayyaz},
TITLE = {Numerical Analysis of Stochastic Vector Borne Plant Disease Model},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {63},
YEAR = {2020},
NUMBER = {1},
PAGES = {65--83},
URL = {http://www.techscience.com/cmc/v63n1/38436},
ISSN = {1546-2226},
ABSTRACT = {We are associating the solutions of stochastic and deterministic vector borne plant disease model in this manuscript. The dynamics of plant model depends upon threshold number P∗. If P∗ <1 then condition helpful to eradicate the disease in plants while P∗ >1 explains the persistence of disease. Inappropriately, standard numerical systems do not behave well in certain scenarios. We have been proposed a structure preserving stochastic non-standard finite difference system to analyze the behavior of model. This system is dynamical consistent, positive and bounded as defined by Mickens.},
DOI = {10.32604/cmc.2020.08838}
}