In this paper, we explore cutting-edge systems for tracking and monitoring cattle, with special attention to camels. We examine technologies like GPS, RFID tags, and wireless sensor networks to understand how each helps farmers manage animal behavior and movement. Our research shows how combining these tools with data analytics and machine learning makes tracking more effective. We discuss the pros and cons of injectable RFID tags, challenges with radio collars, and how IoT systems could revolutionize health monitoring. We also look at how computational systems spot health issues early by analyzing behavior patterns through satellite imagery and sensor data. These technologies give farmers unprecedented insight and control, boosting efficiency and sustainability in camel farming. In our tests, the wireless sensor network predicted theft with 92% accuracy using CTMP modeling, while the IoT health system improved early disease detection by 30%. Our findings can help to optimize herd management in large-scale camel farming and pave the way for smarter livestock technology.