Artificial Intelligence and Machine Learning for Drone Applications
Keywords:
Artificial intelligence, Autonomous drones, Machine learning, Navigation, Path planning, Precision agriculture, Swarm intelligence, UAVAbstract
Artificial Intelligence and machine learning have predominantly transformed the capabilities of drone systems, enabling them to perform complex tasks with high levels of independence and competence. This study explores the incorporation of AI and ML technologies into drone applications, focusing on intelligent decision-making, autonomous navigation, computer vision and actual information examination. Machine learning procedures allow drones to absorb from sensor statistics, identify patterns and develop operational control short of continuous human intervention. AI-powered drones are widely used in agriculture, surveillance, infrastructure inspection, disaster management and environmental monitoring. It also discusses sensor integration, swarm intelligence and predictive maintenance, which enhance reliability and coordination among drones. Furthermore, it highlights current challenges such as computational limitations, safety concerns and regulatory issues. Finally, it outlines future trends, including fully autonomous drones and advanced intelligent systems, demonstrating the growing importance of AI and ML in advancing drone technology and expanding their applications across various industries.
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