| Issue |
E3S Web Conf.
Volume 371, 2023
International Scientific Conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East” (AFE-2022)
|
|
|---|---|---|
| Article Number | 03057 | |
| Number of page(s) | 6 | |
| Section | Innovations in Environmental Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202337103057 | |
| Published online | 28 February 2023 | |
Precision technologies in pig farming
1 Kuban State Agrarian University named after I.T. Trubilin, Kalinina street, 13, 350044 Krasnodar, Russia
2 Big Dutchman, Floor 6, Entrance 9, 32A, Khoroshyovskoe Shosse, BC Solid-Kama, 123007 Moscow, Russia
* Corresponding author: kubanagro@list.ru
The transition to digital, intelligent production technologies and robot-based systems is one of the priorities of the scientific and technological development of Russia. The extensive use of information technology and electronic automated systems is the basis of an intelligent manufacturing execution system that replaces a person, especially for objective and precise control over the quantity and quality of feed given to animals. Modern genetics has achieved a substantial increase in the number of piglets per litter, which does not allow a sow to fully meet their biological needs with her own milk. To preserve the health and high performance of all piglets born, effective and economically feasible methods and technologies are needed. The objective of the research was to analyze the efficiency of applying the components of precision pig farming in piglet feeding when using the feeding systems for suckling piglets CulinaCup and CulinaFlexpro. Their application has a positive effect on the growth and survival rate of suckling piglets due to proper and timely feeding. The systems meet all sanitary and hygienic standards and ensure efficient raising of piglets in large litters.
© The Authors, published by EDP Sciences, 2023
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.