ISSUE FOCUS 36 FEED & ADDITIVE MAGAZINE January 2025 “The integration of AI and digital technologies in livestock farming is just the beginning of a larger transformation. Future developments will likely focus on interoperability between different systems, creating a unified digital ecosystem for farms. For instance, sensors, drones, and feed formulation software could seamlessly exchange data to provide holistic insights, further enhancing productivity and sustainability.” Artificial Intelligence (AI) and digital technologies are transforming livestock farming at a rate unprecedented in history. These tools are reshaping traditional practices, enabling more efficient, sustainable, and productive operations in the whole industry. As advancements continue, the future of livestock farming will likely be defined by fully integrated systems that combine AI, robotics, and real-time IoT (Internet of Things) data. OPTIMIZING FARM MANAGEMENT WITH AI AI systems have proven invaluable in streamlining farm operations. Predictive analytics and machine learning algorithms analyze large datasets to identify patterns, helping farmers make informed decisions. Whether it’s monitoring animal health, predicting disease outbreaks, or managing feed schedules, AI-driven insights minimize risks and maximize efficiency. The use of IoT devices has further advanced farm management. Wearable sensors on livestock monitor parameters such as heart rate, body temperature, and activity levels. This real-time data not only helps in identifying health issues early but also ensures that animals are provided with optimal care. Furthermore, these systems can automatically alert farmers or veterinarians in case of abnormalities, reducing the time required to address critical issues. AI-DRIVEN INNOVATIONS IN LIVESTOCK CARE AI technologies are also enhancing animal welfare by enabling smarter feeding, health monitoring, and environmental management systems. For instance, AI-powered cameras and drones can monitor livestock behavior, identifying signs of stress or discomfort. By analyzing these behaviors, farms can adapt their operations to create a more comfortable environment for the animals. One emerging technology involves using image recognition to monitor individual animals’ health and feeding patterns. This approach ensures precise monitoring, even in large herds, enhancing both productivity and animal welfare. APPLICATIONS OF AI IN AGRICULTURE Several examples illustrate how AI is transforming agriculture: • Targeted Application of Inputs: AI-powered vision systems use high-resolution cameras to identify ROLE OF ARTIFICIAL INTELLIGENCE AND DIGITAL TECHNOLOGIES IN LIVESTOCK FARMING Aleksandar Selakov Chief Executive Officer, AFOS Professor, University of Novi Sad, Faculty of Technical Sciences
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