Bayesian Network and Factor Analysis for Modeling Pine Wilt Disease Prevalence

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Bayesian Network and Factor Analysis for Modeling Pine Wilt Disease Prevalence

A Bayesian network (BN) model was developed to predict susceptibility to PWD(Pine Wilt Disease). The distribution of PWD was identified using QuickBird and unmanned aerial vehicle (UAV) images taken at different times. Seven factors that influence the distribution of PWD were extracted from the QuickBird images and were used as the independent variables. The results showed that the BN model pre...

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Pine wilt disease – a threat to pine forest in Europe

Pine wilt disease caused by pine wood nematodes is endemic to North America. Pine wood nematodes have already spread to East Asia, including China, Taiwan and Korea in addition to Japan. The pine wood nematode, Bursaphelenchus xylophilus, was discovered in Portuguese pine forests in 1999. If it were to become established in the pine forests in Europe, it could become one of the most serious thr...

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History of pine wilt disease in Japan.

Pine wilt disease induced by the pinewood nematode, Bursaphelenchus xylophilus, is a great threat to pine forests in Japan. The first occurrence of the disease was reported in Nagasaki, Kyushu. During the 1930s the disease occurrence was extended in 12 prefectures, and in the 1940s the disease was found in 34 prefectures. The annual loss of pine trees increased from 30,000 m(3) to 1.2 million m...

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Role of Phytotoxins in Pine Wilt Disease

Characteristic rapid death of pines after infection by Bursaphelenchus xylophilus suggests the involvement of phytotoxins in the pine wilt disease syndrome. Crude extract from diseased pine is toxic to pine seedlings, whereas an extract from healthy pine is not. The response of seedlings to the crude toxin is more prominent in susceptible pine species than in resistant ones. Benzoic acid, catec...

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ژورنال

عنوان ژورنال: Journal of Software Engineering and Applications

سال: 2013

ISSN: 1945-3116,1945-3124

DOI: 10.4236/jsea.2013.63b004