Evaluation of efficiency of perennial grass cultivation on basis of fuzzy-possibility model
2021
Sukhoparov, A., Russian Academy of Sciences, Saint Petersburg (Russian Federation). Saint Petersburg Inst. for Informatics and Automation | Spesivtsev, A., Russian Academy of Sciences, Saint Petersburg (Russian Federation). Saint Petersburg Inst. for Informatics and Automation
Based on the published studies of authors from different countries, it is concluded that it is necessary to develop new methodological principles for processing flows of heterogeneous numerical information and building models for agriculture. Moreover, the availability of numerical data on a variety of different variables does not compensate for the lack of effective methods of processing them for practical use by farmers when making decisions on pressing issues. The relevance of using the specialist’s expertise which makes it possible to improve technological processes in the cultivation of perennial grasses is demonstrated. An example of the application of a new methodology for constructing a multi-factor mathematical model based on the convolution of explicit and implicit expert knowledge as one of the most effective methods of digitalization of agricultural production in conditions of uncertainty is given. The possibility of increasing the volume of grass stand biomass in a number of farms without additional resources up to 12% and up to 35% due to the use of material and technical resources with the maximum content of nutrients in the grass during its mowing has been shown. In addition, it will help reduce the specific cost of metabolizable energy in grass by 1.14 times.
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