Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/14902
Title: Decision-making information support methodology for protective measures implementation in the AIC
Authors: Masyutina, G. V.
Масютина, Г. В.
Keywords: Biotechnology;Engineering education;Analytic hierarchy process;Application programs;Crops;Decision making
Issue Date: 2020
Publisher: IOP Publishing Ltd
Citation: Lubentsova, E.V., Masyutina, G.V., Lubentsov, V.F., Permyakov, A.V., Kozlova, M.S. Decision-making information support methodology for protective measures implementation in the AIC // IOP Conference Series: Earth and Environmental Science. - 2020. - Volume 613. - Issue 1. - Номер статьи 012073
Series/Report no.: IOP Conference Series: Earth and Environmental Science
Abstract: The article describes the methodology of decision-making information support for protective measures implementation in the agro-industrial complex (AIC). The aim is to determine the rational area of treated land plots for protective measures implementation as components of cultivated crop area-based industrial technology. The methodology is based on the method of analytic hierarchy process (AHP) constructing and analyzing of multicriteria decision-making task solving in the selection of a rational land plot area for protection treatment. The following selection criteria are used: land plots route survey results giving the information about crops diseases throughout the area under study; affected plant damage degree; diseases harmfulness; environmental conditions (air temperature, precipitation (humidity)); probable losses. A hierarchical estimation of the used criteria importance is obtained, and an information model is formed. The model made it possible to establish a rational land plot option recommended for treatment. The novelty of the proposed methodology for solving the task is the following: the rationale for information technology (IT) application for a new class of tasks dealt with by the AIC and the technology practical focus on environmental friendliness ensuring and resources saving; on the basis of the methodology, the scientifically-based method, that does not require the involvement of a large number of experts, is used; the software implementation of the methodology on a PC does not impose special requirements for computing resources
URI: http://hdl.handle.net/20.500.12258/14902
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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