Modeling fluctuation of Pyricularia grisea spore population as affected by meteorological factors in Guilan province (Iran) using artificial neural network

Modeling fluctuation of Pyricularia grisea spore population as affected by meteorological factors in Guilan province (Iran) using artificial neural network

Rice blast, caused by Pyricularia grisea, is one of the most important diseases of this crop in Iran and all over the world. To evaluate the relationship between spore population (SP) and meteorological factors, SP was measured daily using spore trap during growing seasons of 2006-2008 in Rasht and...

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Bibliographic Details
Main Authors: Shideh Mojerlou, Sedigheh Mousanejad, Naser Safaie
Format: Article
Language:English
Published: University of Tarbiat Modares 2013-12-01
Series:Journal of Crop Protection
Subjects:
artificial neural network
blast
forecasting
pyricularia grisea
rice
Online Access:http://jcp.modares.ac.ir/article-3-12047-en.html

Internet

http://jcp.modares.ac.ir/article-3-12047-en.html

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