2023
DOI: 10.3390/educsci13020203
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Requirements of Modern Russian Agricultural Production for Digital Competencies of an Agricultural Specialist

Abstract: The purpose of the study is to determine the needs of modern Russian agriculture for specialists with certain, most-in-demand, digital competencies. The research methodology is based on the application of the expert assessments method, the method of random statistical selection of experts, and the scientific generalization method. The field of the research is modern digital technologies in agriculture, as well as the corresponding competencies of Russian agricultural university graduates. The study period is 2… Show more

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Cited by 3 publications
(3 citation statements)
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“…Figure 2 schematically shows the events of the transfer of asset ownership, which will be jointly executed by the participants in the process of implementing a smart contract, transforming a business object (cargo, documents) from one (initial) to another (final) state [10]. The various states of the smart contract business object are regulated by operations and data that participants automatically or manually enter during the execution of smart contract transactions.…”
Section: Resultsmentioning
confidence: 99%
“…Figure 2 schematically shows the events of the transfer of asset ownership, which will be jointly executed by the participants in the process of implementing a smart contract, transforming a business object (cargo, documents) from one (initial) to another (final) state [10]. The various states of the smart contract business object are regulated by operations and data that participants automatically or manually enter during the execution of smart contract transactions.…”
Section: Resultsmentioning
confidence: 99%
“…In the article "Requirements of Modern Russian Agricultural Production for Digital Competencies of an Agricultural Specialist", Khudyakova et al [15] aim to identify the digital skills most in-demand in today's Russian agricultural industry. The results stemming from their analysis of the existing curricula in Russian agricultural universities revealed the universities' inadequacy in meeting the contemporary demands of agricultural production.…”
Section: Section I-articlesmentioning
confidence: 99%
“…Data variability, lack of standardized datasets, and resistance in traditional farming communities have slowed progress [30][31][32][33][34]. Collaborative efforts between AI experts and agronomists are essential to bridge this gap [35].…”
Section: Artificial Intelligence In Agriculturementioning
confidence: 99%