The Future Implication of Web-based Iot System for Livestock Monitoring and Management

In some regions in Nigeria, where agriculture, particularly cattle farming drives economic growth, farmers face challenges in effectively monitoring and managing livestock due to limited access to technology and veterinary resources. Manual methods of assessing cattle health coupled with a shortage of veterinarians in rural areas, result in delayed illness detection and reduced productivity. Progress is yet to be made with the use of IoT in smart animal ``monitoring by enabling automated operation with minimum human intervention, in Nigeria. In this work, we designed and implement a flexible IoT-based sensors for remote monitoring of farm animals and continuous data collection from the IoT devices (sensors). The information collected were used for monitoring the health of the animals. The framework used IoT-empowered sensors, an incorporated information base, and an easy to use web point of interaction to follow key boundaries, for example, temperature, moistness, pulse, and area of domesticated animals. This approach decreases the dependence on manual perceptions, subsequently further developing exactness and taking into account ideal mediations. The framework was tried on a fair sized animal’s ranch, exhibiting huge upgrades in domesticated animals wellbeing the board, decreased work costs, and improved dynamic capacities for ranchers. Key difficulties, including availability issues, information security, and framework versatility, were discussed, alongside potential future improvements including artificial intelligence and AI. The discoveries recommend that the proposed framework could altogether add to economical agrarian practices, especially in remote and limited scope cultivating activities.