Autonomous Multifunctional Quadcopter for Real-Time Object Tracking and Seed Bombing in a Dynamic Environment

In recent years, a staggering increase in the development and use of unmanned aerial vehicles has been noticed in a comprehensive range of applications. This paper is based on the utilization of autonomous quadcopter in plantation monitoring (Krishna in Agricultural drones: a peaceful Pursuit, [1]). Agricultural drones are set to revolutionize the global food generation system. Agricultural drones are already flocking and hovering over farms situated in a few agrarian zones. This quadcopter will autonomously navigate, avoid collisions and collect data using computer vision for post-analysis and drop seeds in specified locations. Using aerial quadcopter for surveying vast agricultural land can reduce human efforts. The quadcopter is designed to detect moving objects and identify rodents using an object recognition method. The motive of the paper is to design a low-cost unmanned autonomous aerial vehicle system which will accurately and efficiently locate potential threats and notify the owners about their location and severity.