
An important consideration is the analysis of
Multi-Control (MC) and Single-Control (SC)
systems. MC systems that include multiple
controllers working in tandem offer advantages in
terms of redundancy and fault tolerance, but can be
complex to design and manage. Conversely, SC
systems are simpler but may lack the robustness of
MC systems. Future studies should explore the
capabilities of MC and SC systems by investigating
how MC systems can be optimized for efficiency
and how SC systems can be improved for greater
reliability.
Another key area is the integration of Internet of
Things (IoT) technologies. Research should explore
how IoT-enabled sensors and actuators can improve
real-time data collection and control accuracy.
Scalability and flexibility of control systems are
important to adapt to different operating scales and
conditions. Research should focus on modular and
reconfigurable control architectures that can provide
systems that are more resilient to change and
capable of evolving over time without significant
redesign. Furthermore, future studies should
prioritize the development of control systems that
optimize energy use and minimize environmental
impact. This includes exploring energy-efficient
strategies for the control and use of renewable
energy sources.
The application of effective management
systems in the field of animal husbandry leads to a
significant reduction in energy costs and increases
the possibilities for precise monitoring of
technological processes.
Such a system can be applied not only in farms,
but also in different home, agriculture, and
industrial sectors. This way we can get one step
closer to the transition to a greener and safer future.
Acknowledgement:
The research leading to these results has received
funding from the Ministry of Education and Science
under the National science program INTELLIGENT
ANIMAL HUSBANDRY, grant agreement No
Д01-62/18.03.2021/
The research was partially supported by
National Research Program “Young scientists and
postdoctoral students -2” approved by DCM 206 /
07.04.2022: " Intelligent management systems for
sustainable microclimate ", financed by the Ministry
of Education and Science.
Declaration of Generative AI and AI-assisted
Technologies in the Writing Process
During the preparation of this work, the authors
used the AI-assisted technologies “Grammarly” and
“Google Translate” in the writing process in order to
improve the readability and language of the
manuscript
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