Scholarly record
NORMATIVE-REFERENCE DATABASE FOR AGRICULTURAL MANUFACTURERS SUPPORT SYSTEM AND RATIONAL CHOICE OF COST-EFFECTIVE ADAPTIVE TECHNOLOGIES FOR GRAIN CROPS CULTIVATION
Abstract
Nowadays, landscape specific agriculture development, along with precision farming, is one of the most promising areas for improving crop production worldwide. At the same time, further farming systems improvement should be based not only on the latest achievements of traditional fields of agronomical science, but on some of the interdisciplinary researches, that make good use of the results of modern scientific research. The study addresses the results of the scientific study on the development of the normative-reference database structure for agricultural manufacturers support system and rational choice of cost-effective technologies for grain crops cultivation, taking into account the current trends in the development of native agriculture, including a list of the necessary technological methods and the conditions for their smart use, aggregates, tools and machines, as well as varieties and hybrids of grain crops. As a result of the analysis and categorization of extensive experimental data on optimization and resource saving of agrotechnologies in different natural and climatic conditions of the European part of the Russian Federation, there has been made out an essentially new scheme of choosing a rational technology for cultivating grain crops, which allows agrarians to avoid wrong decisions and to make full use of environmental and physical assets. The normative-reference database structure includes three blocks: the initial (input) data block, the normative information block, the computational algorithms data block. From this point on, on the bedrock of the developed database, there will be developed a computer program "System for the agricultural manufactures support for the rational choice of cost-effective technologies for grain crops cultivation," which, using the baseline information, interactively allows providing best practice advice in a certain agrotechnology usage for the purpose of getting stable and highly remunerative production of plant products of specified quantity and quality.
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