| Issue |
BIO Web Conf.
Volume 83, 2024
International Conference Scientific and Technological Development of the Agro-Industrial Complex for the Purposes of Sustainable Development (STDAIC-2023)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 5 | |
| Section | Automation and Digital Technologies in the Agro-Industrial Complex | |
| DOI | https://doi.org/10.1051/bioconf/20248303001 | |
| Published online | 04 January 2024 | |
Analysis of key technologies of digital transformation in agriculture
1 Rostov State University of Economics (RSEU), Department of «Business Analysis and Forecasting”, Rostov-on-Don, Russia
2 Rostov State University of Economics (RSEU), Department of Foreign Languages for Humanitarian Specializations, Rostov-on-Don, Russia
3 Rostov State University of Economics (RSEU), Financial and HR Management Department, Rostov-on-Don, Russia
* Corresponding author: 79185140585@yandex.ru
The implementation of digital transformation in agriculture is currently realized through the implementation of a set of digital technologies, which are interrelated with each other, within the concepts of smart agriculture and precision farming. It should be noted that the use of individual components of precision farming has been carried out for the last two decades, but at present the issues concerning the widespread distribution of integrated solutions in sustainable crop production of resource-saving nature, involving the use of various sensor devices, unmanned and automated machinery, various robotic production systems, the Internet of things, platform technologies for the realization of the digital economy are becoming more and more relevant. The fundamental task of the digital transformation in agriculture is to obtain the most important information about the state of the internal and external environment, in relation to the generated arrays of big data. Cloud platforms and big data solutions are essential to this task. In addition, the support systems used for management decision-making and the technologies of predictive analytics play a significant role.
Key words: increasing yields / food security / environmental stewardship / digital platform / digitalization of workflow
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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