Published Paper Details:

: A UAV drone for smart agriculture, often referred to simply as an agricultural drone, is an Unmanned Aerial Vehicle (UAV) equipped with various sensors. Unmanned aerial vehicles, or UAVs, are becoming increasingly popular in a variety of applications, including field mapping, agriculture, and obstacle avoidance. Path planning, which entails creating ideal trajectories to move through surroundings effectively while avoiding obstacles, is a crucial component of UAV operation. A MATLAB simulation framework for UAV path planning is presented. A simulation-based method for assessing UAV path planning tactics for agricultural areas is presented in this paper. The main goal is to create and evaluate path planning algorithms that maximize UAV paths for effective data gathering and surveillance in agricultural environments. Furthermore, the platform enables users to adjust factors like obstacle density, mission objectives, and UAV speed to evaluate the effectiveness of various path planning algorithms in varied scenarios. All things considered, this MATLAB simulation framework is a useful resource for engineers, academics, and practitioners that plan UAV routes.