I. Vorotnikov, A. Rozanov, S. Bogatyrev, M.Sh. Gutuev
{"title":"模拟了条带耕作参数对禾草作物产量的影响","authors":"I. Vorotnikov, A. Rozanov, S. Bogatyrev, M.Sh. Gutuev","doi":"10.35679/1991-9476-2021-16-3-350-358","DOIUrl":null,"url":null,"abstract":"The article presents materials on the choice of the optimal combination of technical parameters of a combined tillage unit for short-rotation cultivation of row crops with the introduction of nitrogen-phosphorus fertilizers, taking into account their effect on yield at the preliminary stage of development and implementation of the Strip-Till system using elements of mathematical modeling. The aim of the research was to optimize the values of agrotechnical parameters of strip tillage with simultaneous application of fertilizers obtained as a result of information retrieval. The work focuses on the identification and computer optimization of operational and technical parameters that are significant from the point of view of the impact on yield. The functional dependences of sunflower yield on the depth of soil cultivation, fuel consumption, unit productivity, dose and depth of fertilization are given; For clarity, graphic interpretations of the models are combined with gradient vectors indicating the optimum points. An analysis of the magnitude and significance of the coefficients of the regression equation shows that the key parameters that have a decisive effect on the yield are the depth of application and the dose of fertilization, the depth of tillage and fuel consumption. The impact on the productivity of the unit performance is negligible. The results of mathematical modeling by the gradient descent method are supposed to be used when assigning strip tillage modes and adjusting agrotechnical parameters during the modernization of combined tillage machines in relation to the conditions of dry farming.","PeriodicalId":14015,"journal":{"name":"International Journal of Life-Sciences Scientific Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"RESULTS OF MODELING THE INFLUENCE OF THE PARAMETERS OF STRIP TILLAGE ON THE YIELD OF GRASS CROPS\",\"authors\":\"I. Vorotnikov, A. Rozanov, S. Bogatyrev, M.Sh. 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The functional dependences of sunflower yield on the depth of soil cultivation, fuel consumption, unit productivity, dose and depth of fertilization are given; For clarity, graphic interpretations of the models are combined with gradient vectors indicating the optimum points. An analysis of the magnitude and significance of the coefficients of the regression equation shows that the key parameters that have a decisive effect on the yield are the depth of application and the dose of fertilization, the depth of tillage and fuel consumption. The impact on the productivity of the unit performance is negligible. The results of mathematical modeling by the gradient descent method are supposed to be used when assigning strip tillage modes and adjusting agrotechnical parameters during the modernization of combined tillage machines in relation to the conditions of dry farming.\",\"PeriodicalId\":14015,\"journal\":{\"name\":\"International Journal of Life-Sciences Scientific Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Life-Sciences Scientific Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35679/1991-9476-2021-16-3-350-358\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Life-Sciences Scientific Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35679/1991-9476-2021-16-3-350-358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
RESULTS OF MODELING THE INFLUENCE OF THE PARAMETERS OF STRIP TILLAGE ON THE YIELD OF GRASS CROPS
The article presents materials on the choice of the optimal combination of technical parameters of a combined tillage unit for short-rotation cultivation of row crops with the introduction of nitrogen-phosphorus fertilizers, taking into account their effect on yield at the preliminary stage of development and implementation of the Strip-Till system using elements of mathematical modeling. The aim of the research was to optimize the values of agrotechnical parameters of strip tillage with simultaneous application of fertilizers obtained as a result of information retrieval. The work focuses on the identification and computer optimization of operational and technical parameters that are significant from the point of view of the impact on yield. The functional dependences of sunflower yield on the depth of soil cultivation, fuel consumption, unit productivity, dose and depth of fertilization are given; For clarity, graphic interpretations of the models are combined with gradient vectors indicating the optimum points. An analysis of the magnitude and significance of the coefficients of the regression equation shows that the key parameters that have a decisive effect on the yield are the depth of application and the dose of fertilization, the depth of tillage and fuel consumption. The impact on the productivity of the unit performance is negligible. The results of mathematical modeling by the gradient descent method are supposed to be used when assigning strip tillage modes and adjusting agrotechnical parameters during the modernization of combined tillage machines in relation to the conditions of dry farming.