Совершенствование методов прогноза лесопатологической ситуации
2013
Lyamtsev N.I.
Procedures, algorithms and models for forest pathology information automated analysis and multiple forecasts development is analyzed. Forecast procedures for assimilation mechanism damage, tree decline, insect mass outbreak area dynamics are under study.
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Bibliographic information
Volume
4
ISSN
2079-6080
Language
English, Russian
Translated Title
Updating of forest pathology situation prediction procedures
Type
Journal Article; Journal Part
Corporate Author
Russian Research Institute for Silviculture and Mechanization of Forestry
2015-06-15
AGRIS AP
Data Provider
This bibliographic record has been provided by Saint Petersburg Forestry Research Institute
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