Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Science. Education. practice; Delhi; Delhi
Год издания: 2024
Идентификатор DOI: 10.34660/INF.2024.67.34.085
Ключевые слова: resource-saving technologies, crop production, agricultural enterprises
Аннотация: The article considers the possibilities of using resource-saving technologies in agricultural enterprises of the region. The purpose of the research was to identify the dependence of a set of resource-saving factors that affect the grain yield of an agricultural enterprise in the region. Methods of statistical data processing basedПоказать полностьюon modeling were used to test the results of the combine harvester at the enterprise of the region. Resource-saving in agriculture allows agricultural enterprises to carry out activities in order to minimize resource costs and ensure environmental friendliness. The factors that help the development of resource- saving technologies in the crop production of Krasnoyarsk Krai of the Russian Federation were determined. The problems and prospects for the development of resource conservation were identified, which make it possible to achieve an increase in efficiency, ecological safety and quality of agricultural products. In order to activate the technological modernization of agriculture, it is necessary to use new types and classes of machinery and equipment in crop production, which are ahead of analogues in developed countries in terms of technical and ecological parameters. It is necessary to develop and master resource-saving, environmentally safe and high-performance technologies adapted to environmental requirements, contributing to a technical breakthrough, ensuring labor productivity growth and resource savings. The Russian production company Rostselmach has launched an innovative combine harvester to increase the level of technical equipment of grain production. The introduction of the proposed resource-saving technology was justified by calculations based on a multiple correlation and regression model. On the basis of the proposed model, the factorial characteristics of seed costs, energy availability, labor intensity that affect the effective feature such as the level of yield were identified.
Журнал: Science. Education. practice
Номера страниц: 23-30
Место издания: Delhi