Smart Technologies in Animal Nutrition
The fourth industrial revolution, or Industry 4.0, is transforming many industries, including animal breeding. Smart technologies such as sensors, automation, and artificial intelligence are being used to improve the efficiency, productivity, and sustainability of animal breeding operations.
One of the main benefits of Industry 4.0 in animal breeding is the ability to collect and analyze large amounts of data. Sensors can be used to monitor various aspects of animal production, such as feed intake, water consumption, and environmental conditions. This data can be analyzed using artificial intelligence algorithms to identify patterns and trends, which can help farmers to optimize their management practices and improve the productivity of their animals.
Automation is another important component of Industry 4.0 in animal breeding. Automated systems can be used for various tasks, such as feeding, cleaning, and milking. This can save time and labor costs for farmers, while also improving the consistency and quality of the work.
Together with the commercial sphere, our researchers participate in the development of smart devices from the point of view of their usability for animal husbandry. Smart technologies have the potential to provide important data in terms of welfare, but also in the field of animal nutrition.
3D Camera Technology
In the swine industry, accurately measuring the weight of pigs is essential for effective management of production systems. 3D camera technology uses a stereo camera system to capture two images of the pig from different angles. The images are then processed using computer algorithms to create a 3D model of the pig, which can be used to estimate its weight. The technology can be integrated into pig housing facilities, such as feeders or walkways. This technology saves time and labor costs for farmers, reduces stress on pigs, and offers accuracy comparable to traditional weighing methods. Its efficiency and accuracy make it a promising development in the swine industry.
Project: 2019 – 2023: Modernization of pig breeding technologies with higher ICT integration and creation of comparable calculation methodologies PRV 17/005/1611a/563/000104 (co-investigator Pavel Horky)
Research outcomes: in progress