BIO Web Conf.
Volume 51, 2022International Scientific and Practical Conference “From Modernization to Advanced Development: Ensuring Competitiveness and Scientific Leadership of the Agro-Industrial Complex” (IDSISA 2022)
|Number of page(s)||8|
|Section||Digital and Engineering Technologies as a Factor in the Intensive Development of Agriculture|
|Published online||02 August 2022|
Artificial intelligence in agriculture as a basis for increasing the competitiveness of Russian enterprises
Ural State Agrarian University, Yekaterinburg, Russia
* Corresponding author: firstname.lastname@example.org
Digital technologies ensure the competitiveness of agriculture and have the ability to attract investment. They are needed to increase milk yield and improve the quality of dairy products. "Smart Farm" is a fully robotic facility that analyzes the feasibility of production. For example, this analysis indicates the economic feasibility of breeding certain breeds of farm animals. Now milking robots are used all over the world. If the average milk productivity of cows is 5,000 liters per year, then due to the introduction of modern technologies, the result can be up to 12,000 liters per year. Another plus is the fact that the production process can take place without the presence of an operator. A smart farm is a fully automated process. Such a farm can independently calculate the economic profitability of its production, where the necessary digital technologies are used. Based on the analysis, a decision is made to optimize the production process.
© The Authors, published by EDP Sciences, 2022
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.