@article{MAKHILLJEAS202015919267,
    title = {Preliminary Application Environment Results from Regional Weather Prediction (WRF
Model) for Rice Blast Disease Model},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {9},
    pages = {2075-2082},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.2075.2082},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.2075.2082},
    author = {Usa and},
    keywords = {WRF model,environment factor,rice blast disease,graph,line},
    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 <i>Pyricularia oryzae</i> 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.}
    }