Methodical principles of modeling of subject-agrometeorological events in technological processes growing of grain crops
DOI:
https://doi.org/10.31548/machenergy2020.01.067Keywords:
cultivation, grain crops, subject-agrometeorological events, technological processes, mechanized operations, modeling.Abstract
The article identifies and classifies subject-agrometeorological events in the technological processes of cultivating grain crops. The analysis of these events made it possible to classify them according to the periodicity of their appearance, as well as to indicate the content of the influence of each of them on the course of these processes, which made it possible to develop appropriate algorithms for modeling the time of occurrence of these events.
The distribution of the time of occurrence of subject-agrometeorological events in technological processes of growing of grain crops, in particular: the time of restoration of spring vegetation, the completion of the autumn vegetation period of winter grain crops, the time of reaching their characteristic predecessors, and the patterns of change in the duration of soil warming have been established. The obtained regularities allow to predict (generate) the onset of phases of development of plants and time constraints for the implementation of mechanized operations in the technological processes of cultivating grain crops for different natural and production conditions.
The developed scientific and methodical principles of modeling of subject-agrometeorological events in the technological processes of cultivating grain crops underlie the creation of their computer models. The practical use of these models will allow you to predict the time constraints for performing mechanized operations and the characteristics of the flow of orders for their execution.
The methods of analysis and synthesis, system-factor and system-event approaches to the study of technological processes of cultivating grain crops were used in the work. To develop algorithms for modeling these technological processes, a discrete-event approach was used.
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