![]() The Unmanned Aerial Vehicles and machine learning association has resulted in fast and reliable outputs. The machine learning implementation has reduced numbers of challenges to Unmanned Aerial Vehicles besides enhancing the capabilities and opening the door to the different sectors. ![]() The objective was to synthesize the scope and importance of machine learning models in enhancing Unmanned Aerial Vehicles capabilities, solutions to problems, and numerous application areas. This study retrieved and synthesized research on the use of Unmanned Aerial Vehicles along with machine learning and its algorithms in different areas and regions. The Unmanned Aerial Vehicles have extended the freedom to operate and monitor the activities from remote locations. Unmanned Aerial Vehicles and machine learning have started gaining attentions of academic and industrial research.
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