Tree Object Detection And Classification Algorithms – Review

Just a few years ago, the only way to gather data on plant density and condition from a distance was through expensive flights and satellite imagery. However, now there’s a more affordable and innovative option available: the use of Unmanned Aerial Vehicles (UAVs) to capture high-resolution images that can be used for estimation purposes. Images obtained in this way represent a high-quality source of information and could be further used as an input dataset for various object detection and classification algorithms. In recent years, there has been a proliferation of studies in which images obtained in this way are used for training different object detection and classification algorithms for usage in the process of improving agricultural production. Precisely for this reason, the main goal of this research is to present a review of the scientific results of application of different algorithms in the process of plant detection on agricultural plantations. Furthermore, a comparison of the obtained results of the application of different algorithms is given.