Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
Rice is very important and the main food in Thailand. Because it’s a main economic-financial export product. One disease of rice in Thailand is rice blast disease. The Pyricularia oryzae is a fungus that makes rice blast disease occurrence. This fungus prefers to grow on the susceptible rice cultivar. Furthermore, the spore can survive and germinate, under the favorite environment condition. The environmental factors are included in relative humidity, soil temperature, temperature and rainfall. The good estimations of the environment are crucial to helping the risk management of rice blast disasters occurrence. The aim of this study to simulate the environment factors using the WRF model which occurred rice blast experiment and the results of the simulations are compared with the amount of the environmental factors from Prachinburi rice research Center data. The results from the WRF model were shown good trend and estimated value nearly with Prachinburi Rice Research Center data in the line graph. The correlation coefficient statistical method confirms the result from the WRF model that shows high accuracy, especially at 06:00 p.m. So, this study supported the environment factor from the WRF Model that can be used in the simulation of the severity of rice blast disease.
How to cite this article:
Pramet Kaewmesri and Usa Humphries. Preliminary Application Environment Results from Regional Weather Prediction (WRF
Model) for Rice Blast Disease Model.
DOI: https://doi.org/10.36478/jeasci.2020.2075.2082
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2020.2075.2082