Abstract
The research was conducted at the premises of the agricultural systems laboratory on the basis of research findings and analysis and generalization of modern scientific literature on a rational choice of adaptive technologies for cultivation of 10 crops (wheat, barley, rye, peas, millet, etc.) for different conditions in Russia. The most effective conditions for technologies application facilitating the efficient use of available resources were determined. Criteria, standards and requirements for the efficiency of the most important technological techniques of modern agricultural technologies were posed, as well as approaches to automation and an algorithm for their rational choice. The scheme and structure of the database of the agricultural producer support system for a rational choice of highly profitable adaptive technologies for leading grain crops cultivation were developed. The structure of the database of the decision support system is represented in three units: initial information, regulatory and reference information and calculation algorithms. The implementation of the developments into the production process opens up opportunities for the most efficient use of the existing soil and climate potential of the territories and material and technical resources in order to ensure highly profitable sustainable crops yields.
Highlights
The specificity of the adaptive landscape specific agriculture is the multivariance of agricultural technologies due to the diversity of cultivated crops and variability of soil and climate conditions in Russia [1]
A significant number of research findings has been accumulated, and their analysis enables a reasonable approach to the process of adaptation of agricultural technologies to different regions of the Russian Federation [2,3,4]
The purpose of our research is to develop modern approaches to automation and to create an algorithm for a rational choice of adaptive technologies for grain crop cultivation based on experimental data generalization, analysis and systematization considering the conditions of the European part of the Russian Federation
Summary
The specificity of the adaptive landscape specific agriculture is the multivariance of agricultural technologies due to the diversity of cultivated crops and variability of soil and climate conditions in Russia [1]. A significant number of research findings has been accumulated, and their analysis enables a reasonable approach to the process of adaptation of agricultural technologies to different regions of the Russian Federation [2,3,4]. The purpose of our research is to develop modern approaches to automation and to create an algorithm for a rational choice of adaptive technologies for grain crop cultivation based on experimental data generalization, analysis and systematization considering the conditions of the European part of the Russian Federation. The research involves the development of the database structure of an agricultural support system facilitating a rational choice of highly profitable adaptive technologies of grain crops cultivation
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