Information Support for Predictive Modeling of Agroecosystems

Abstract In recent years, the anthropogenic load on the environment has been growing. This leads to the aggravation of environmental problems. To solve such problems, different concepts are needed that will allow nature and man to coexist stably. To make the right decision in any area that determine...

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Bibliographic Details
Published inIOP conference series. Earth and environmental science Vol. 666; no. 3; p. 32095
Main Authors Chelovechkova, A V, Polyakova, E N, Zmyzgova, T R
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.03.2021
Subjects
Agricultural ecosystems
Anthropogenic factors
Climate models
Climatic conditions
Computers
Decision making
Human influences
Model accuracy
Prediction models
Soil conditions
Weather
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Summary:Abstract In recent years, the anthropogenic load on the environment has been growing. This leads to the aggravation of environmental problems. To solve such problems, different concepts are needed that will allow nature and man to coexist stably. To make the right decision in any area that determines human activity, it is necessary to predict actions and their consequences. At the present stage of the development of science, simple intuition is not enough. High-quality recommendations are also often lost their relevance. In recent years, with the use of information technologies, a fundamentally new approach to working with agroecosystems has been growing - process modeling. At the same time, the created models can provide the solution of the assigned tasks with very high accuracy. Such models take into account soil and climatic conditions, weather factors that determine the area of consideration. The introduction of high-performance computers made it possible to create a reliable base for the development of such models.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/666/3/032095