农业数字化转型:优先事项和障碍

Daina Vasilevska, B. Rivza
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引用次数: 0

摘要

在领先国家的实践中,数字化转型隐含着支持新技术引进的行业原则。与此同时,计划和项目既可以建立在在几个行业中引入任何一组有前途的技术的原则之上,特别是在它相关的领域,也可以通过强制引入许多技术异构解决方案来提供特定行业的数字化转型,这些解决方案在特定的经济或社会领域中是有需求的。数字化转型有助于解决行业系统性问题,重组劳动力,实现日常工作的自动化。因此,在电力工业中,基础设施的事故数量减少了,在建筑中-建筑工地的伤害水平。数字产品改善了组织内部和组织之间的协调,降低了交易成本。例如,物流中的平台解决方案减少了中间商的作用,同时扩大了与最终用户沟通的可能性。农业的数字化转型在很大程度上是基于在精准农业和智能农业等相互关联的概念中综合实施一系列数字技术。本研究的目的是确定拉脱维亚农业数字化的水平。确定该国农业最需要哪些数字技术,研究对先进数字技术的需求变化,确定数字农业发展的主要制约因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DIGITAL TRANSFORMATION OF AGRICULTURE: PRIORITIES AND BARRIERS
In the practice of leading countries, digital transformation implies the industry principle of supporting the introduction of new technologies. At the same time, programs and projects can be built both on the principle of introducing any one promising group of technologies in several industries, where it is especially relevant, and provide for the digital transformation of a particular industry through the forced introduction of many technologically heterogeneous solutions that are in demand in a given sector of the economy or social sphere. Digital transformation contributes to solving systemic problems in industries, reorganizing labor and automating routine tasks. Thus, in the electric power industry, the number of accidents at infrastructure facilities is reduced, in construction - the level of injuries at the construction site. Digital products improve coordination within and between organizations and reduce transaction costs. For example, platform solutions in logistics reduce the role of intermediaries, while expanding the possibilities for communication with end users. The digital transformation of agriculture is largely based on the integrated implementation of a number of digital technologies within the interrelated concepts of precision farming and smart agriculture. The purpose of this study is to determine the level of digitalization of agriculture in Latvia. Determine which digital technologies are most in demand in the country's agriculture, study the change in demand for advanced digital technologies, and identify the main constraints for the development of digital agriculture.
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