Uydu ve Dron Verileri ile Aga Konumlarinin Tespiti

In this study, an artificial intelligence-based system is being developed to detect tree locations using satellite and drone imagery. The system utilizes the YOLOv8 model to identify trees and processes location and altitude data obtained from the drone to determine the geographical coordinates of each tree. While the model performs successfully on static images, it also employs drone flight and camera parameters to achieve precise location calculations. Additionally, real-time tree detection and location estimation algorithms are being tested using drone-captured videos, with ongoing efforts to enhance the system. The accuracy of location calculations are being tested by comparing with Google Earth and other mapping tools are ongoing. This study aims to improve agricultural productivity, optimize forest management, and contribute to environmental sustainability.