再生农业数字化农业技术的形成

I. F. Yurchenko
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引用次数: 0

摘要

农业数字化发展的关键问题仍然是商品生产者对这些创新的兴趣不高,这就实现了科学在为所收到的解决方案提供大规模信息支持方面的作用,这些解决方案包括实际使用的有效性和防止不可预见后果的建议,这些建议有助于吸引农民对其开发和实施进行投资。本研究的目的是通过对数字技术在农业作物生产系统中应用的优势和成果、困难和不利指标的数据和信息进行研究、分析和整理,形成形成再生农业农业技术数字化的信息资源和分析支撑。研究的基本方法是系统分析理论、模拟理论和专家评估理论。对农业生产中土地复垦工艺过程自动化控制系统的使用情况进行了分析,建立了较低水平的实施开发和实践测试的软件和技术自动化综合体。给出了农业生产工艺流程数字化对商品生产者投资吸引力不足的主客观原因的优先级数。成功发展复垦农业生态系统数字化的优先技术清单已经形成,包括数字建模、基于大数据的分析程序、神经网络和人工智能、工业物联网、云技术。提出了自动化系统有效运行的原则和将后者纳入农业生产系统的措施。克服农业垦荒技术数字化过程中的困难和复杂性,将大大提高劳动生产率,降低生产成本,提高产品质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE FORMATION OF DIGITALIZATION OF AGRICULTURAL TECHNOLOGIES OF RECLAIMED AGRICULTURE
The key problem of the development of digitalization in agriculture remains the low interest of commodity producers in these innovations, which actualizes the role of science in providing large-scale information support to the solutions received in terms of the effectiveness of their practical use and recommendations for preventing unforeseen consequences that help attract farmers ' investments to their development and implementation. The purpose of this research is to form a resource of information and analytical support for the formation of digitalization of agricultural technologies of reclaimed agriculture based on the results of studying, analyzing and systematizing data and information about both the advantages and achievements, as well as about the difficulties and negative indicators of the use of digital technologies in the crop production system of agriculture. The basic method of research is the theory of system analysis, analog and expert assessments. The analysis of the use of automated control systems for technological processes of land reclamation in agricultural production has been carried out, which has established a low level of implementation of developed and tested in practice software and technical automation complexes. The priority number of objective and subjective reasons for insufficient investment attractiveness for commodity producers of digitalization of technological processes of agricultural production is shown. A list of priority technologies for the successful development of digitalization of reclaimed agroecosystems has been formed, including digital modeling, analytical procedures based on large amounts of data, neural networks and artificial intelligence, the industrial Internet of Things, cloud technologies. The principles of effective functioning of automated systems and measures for integrating the latter into the agricultural production system are presented. Overcoming the difficulties and complications of the process of digitalization of agro-reclamation technologies will more than pay off by increasing labor productivity, reducing production costs, and improving product quality.
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