Unmanned aerial vehicles are all aircraft without any passengers, pilot or any other crew members on board. The basic division of UAV according to its control method is the division into drones and remote-controlled aircraft. In addition, drones can be classified according to various characteristics, such as mass, speed, range, maximum altitude, type of engine and type of cargo. Their use has become routine and common in military activities, but recently we are increasingly witnessing the use of drones for civilian purposes (surveillance of power lines, oil pipelines, borders, forest fires, floods, field dusting, aerial photography, terrain analysis, agriculture, forestry). The use of drones in afforestation involves field surveying, processing of the collected data, and final performance of seed transfer and planting in the detected areas. The purpose of the work was to design and redesign the Ryze Tech Tello drone- powered by DJI so that it could transfer the object (soil, seeds, seedlings, top dressing) and release it at the desired location in order to determine the possibility of using the drone in afforestation. The basis of a quality model of afforestation system is a good analysis of the terrain and finding a place where the seeds are released. To successfully perform this task, it was necessary to modify the angle of the camera and write program code by which the drone, based on computer vision, detects the markings of the places where the seed should be dropped. It has been shown that this drone is an adequate modelling tool for complex tasks.