Forecasting the time stock for chemical plant protection based on computer simulations

Main Article Content

Anatolii Тryhuba
Inna Tryhuba
Larysa Mykhalchyshyna
Iryna Mushenyk
Nonna Koval
Yuliia Haybura
صندلی اداری

Abstract

The approach, algorithm, and intelligent system of support of decision-making of management for forecasting of time fund for the performance of the mechanized chemical protection of plants are offered. They are based on the formation of a database and knowledge of the weather from the Open Weather Map service for individual countries and their regions. They provide the formation of databases and knowledge for a given country or its region, taking into account the characteristics of natural, climatic, and industrial conditions based on computer modelling. Also, the proposed intelligent management decision support system provides a systematically accountable set of variable agrometeorological components of the mechanized chemical plant protection system and their impact on the projected time fund of the relevant work. Based on the use of the developed intelligent system of support of acceptance of administrative decisions forecasting of time fund for the performance of the mechanized chemical protection of plants and the set natural-climatic and industrial conditions is executed. The climatically admissible time fund model for mechanized chemical protection of plants during the day for May, which is described by Weibull distribution, is substantiated. The obtained research results can be used by managers of agricultural enterprises during the management processes of forecasting the time fund for the implementation of mechanized chemical plant protection. The developed intelligent decision support system provides further research on forecasting the time fund for the implementation of mechanized chemical plant protection and substantiation of its models for different countries and their regions.

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Article Details

Section
Integration System of Education, Science and Production
Author Biographies

Anatolii Тryhuba, Lviv National Agrarian University

Доктор технических наук, профессор,

Глава отдела

Кафедра информационных систем и технологий

Inna Tryhuba, Lviv National Agrarian University

Ph.D., Associate Professor, Department of Genetics, breeding and plant protection. The number of articles in the national database – 45. The number of articles in international databases –15.

Larysa Mykhalchyshyna, National University of Life and Environmental Sciences of Ukraine

Candidate of Economic Sciences, Associate Professor, works at the Department of Global Economics of the National University of Life and Environmental Sciences of Ukraine. She teaches the subjects taught at the Department of Global Economics: Agricultural Policy, Livestock Economics. Has practical experience as an expert at the Forensic Research Institute.Scientific interests: market analysis, competitiveness assessment.

Iryna Mushenyk, State Agrarian and Engineering University in Podilya

Ph.D. (Economics), works at the Department of Mathematical Disciplines, Informatics and Modeling. She teaches computer science, information technology. He has a deep interest in research publication. Scientific interests: MODELS AND METHODS OF FORMATION OF OPTIMAL STRUCTURE AND SIZES OF PRODUCTION OF AGRICULTURAL ENTERPRISES. ScopusID 57203657911.  ResearcherID H-1855-2018

Nonna Koval, State Agrarian and Engineering University in Podilya

Ph.D., Associate Professor. Department of Economics, Entrepreneurship, Trade and Stock Exchange. Social and Economical Features in Development of Individual Farms of Rural Population.

Yuliia Haybura, State Agrarian and Engineering University in Podilya

Ph.D. in Economics, Аssociate Professor of Finance, Banking and Insurance Department. She teaches disciplines taught: financial analysis, economic analysis, analysis of economic activity. Author of more than 100 scientific works. Scientific interests: FinanceAnalisis, Economics, Income.

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