Application of Digital Technologies in the Field of Animal Husbandry

Abstract

In the modern world, the use of digital technologies and automation in agriculture is becoming increasingly widespread. According to the United Nations, by 2050 the world's population may reach 9.7 billion, and in 2080 it will peak at 10.4 billion people, so the demand for food will grow significantly. One of the possible solutions to meet this demand is the development and active implementation of digital technologies in animal husbandry. Modern digital technologies are transforming the industry and providing new opportunities for farmers to increase efficiency and productivity while minimizing their environmental impact. These technologies are also used to optimize farmers' work. One of the industries that benefits most from automation is precision animal husbandry. Precision animal husbandry is agriculture that uses technology to monitor and manage livestock with efficiency and sustainability. Using artificial intelligence-based automation, farmers can collect data about their livestock, such as health and nutritional information, in real time. This data can then be used to make informed decisions about animal care and management. Thanks to digital technology, farmers can improve and optimize their livestock management practices. For example, the health and well-being of animals can be monitored using drones, cameras, and AI sensors that can alert humans to potential problems. In addition, artificial intelligence can be used to make decisions about breeding and feeding strategies by tracking the performance of individual animals. Digital technologies are also being introduced to improve the efficiency of the farm itself. The use of AI-enabled robots can automate certain tasks, such as milking and feeding, allowing farmers to focus on other activities. The use of resources such as water and energy can also be optimized with AI, which can help mitigate the environmental impact of agriculture. Finally, the use of robots on farms helps to improve product traceability. AI-driven sensors can monitor the condition and location (and even identify) of animals to ensure product quality and safety, and increase the sustainability of livestock production.