@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} }