Controlling infectious diseases in animals on farming holdings plays an important role in ensuring livestock health and productivity. Infectious diseases can spread rapidly among animals, leading to severe consequences such as reduced productivity, increased mortality, and substantial economic losses. Therefore, implementing effective disease control measures is crucial for safeguarding animal welfare and farmers' livelihoods. When animals are kept outdoors in large areas, identifying diseases and their sources of contamination can be particularly challenging. The vastness of these environments makes it difficult to monitor every animal closely and detect early signs of illness. Additionally, the mingling of animals from different areas can facilitate the spread of diseases, making it harder to pinpoint and control outbreaks. This paper presents an architecture designed to mitigate these challenges. To sum up, this solution uses a set of IoT sensors that try to identify the proximity of healthy animals to animals with disease to stop transmission. The IoT sensors will provide farmers with real-time data, enabling them to swiftly isolate infected animals and implement targeted interventions. By improving disease detection and monitoring, this technology will help farmers maintain healthier herds and reduce the risk of widespread outbreaks, thereby enhancing both animal welfare and agricultural productivity significantly.