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Lions and elephant, cows roam around the farm to kill and destroy farmer livestock now in africa area. For this reason, productivity in agriculture decreases over time resulting in poor production of crops and even killing of poultry animals. The Development Drone for Driven Agriculture based on IoT Technology provides an effective way to ensure the protection of farms and agriculture against wild animals. An automatic Drone fly after receiving a signal from server Open CV to hunt wild animals outside the farm. The output of Object detection is also the highlight of this project. In this paper, we also discuss the Open CV harr Cascades using Python for image detection and Drone operation to meet farm’s requirement. The UAV Drone is flown for hunting wild animals outside farm which is to prevent breach in farm security. Furthermore, the UAV Drone was developed through UAV technologies, with functionalities necessary for the successful deployment of a fully autonomous UAV operation over agriculture and traffic networks. The UAV is able to navigate autonomously at different altitudes, plan for mission goals such as locating, identifying, tracking and the development of reliable software and hardware architectures. This paper proposes a UML diagram including the design of the Unmanned Aerial Vehicle system and software in it. The software is called embedded software. Model-based testing is a resolution for testing embedded software.

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