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Published Paper Details:
Survey in AI Applications of Drone: Environmental monitoring, Disaster management, Agriculture, Logistics
Authors
Heman Gowda K S,Jai Gupta,Jiya Duseja,Kumar Aditya,Shreya Upadhyaya
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Keywords
Artificial Intelligence, Drones, Unmanned Aerial Vehicles, Machine Learning, Computer Vision, Autonomous Systems, Precision Agriculture, Disaster Management, Object Detection, Route Optimization, Reinforcement Learning, Natural Language Processing , Environmental Monitoring, Real-time Data Processing, Ethical Considerations in AI
Abstract
Artificial intelligence integrated with drones has created new opportunities for many industries, making processes automated, enhancing remote data capturing and decision making. UAV (Unmanned Aerial Vehicles) also known as drones was originally used for military and surveillance but now integrates technologies like agriculture, supply chain, emergency management and ecological sensing. The background on this research relates to the enhancement of capability of drones through machine learning and computer vision algorithms permitting them to work autonomously without much human input. The methods that have been discussed in this paper are CNN as an object detection technique, Reinforce Learning for efficient routes, and NLP for Voice Command Control Systems. Such technologies make it possible for the drones to discover features of the environment, identify objects and even interact better with the operators. Speaking of the outcomes, AI drones have shown a considerable advance in terms of effectiveness and precision during their operation. However, numerous industries such as precision agriculture involve the use of drones with AI in multispectral imaging to determine the state of crops to achieve better results from resource utilization. Likewise, in disaster management situations, exceptional agility is possible by using drones that have artificial intelligence for purposes of assessing the destruction, finding victims and delivering supplies. Such advancements support a view on how AI can improve the performance of drones in dynamic environments with related uncertainties. Nevertheless, some limitations still exist in some issues including the model regulation, ethical issues, and the structures for handling variability in actual usage of AI models. Copied from the main text The research therefore concludes that AI applications in drones are growing progressively, further development of these technologies is needed for improved breakthroughs. With superior technological enhancement, drones are expected to be more relevant to sectors that need precision, efficiency, and decentralization to function optimally while guaranteeing regulatory compliance and safety concerns will be the critical parameters that will drive the improvement of drones' functionality.
IJCRT's Publication Details
Unique Identification Number - IJCRT2501202
Paper ID - 275395
Author type - Indian Author
Page Number(s) - b698-b713
Pubished in - Volume 13 | Issue 1 | January 2025
DOI (Digital Object Identifier) -
No Of Downloads - 147
Author Country - India, 560019, Bangalore, Bangalore, 560019, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Heman Gowda K S,Jai Gupta,Jiya Duseja,Kumar Aditya,Shreya Upadhyaya, "Survey in AI Applications of Drone: Environmental monitoring, Disaster management, Agriculture, Logistics", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 1, pp.b698-b713, January 2025, Available at :http://www.ijcrt.org/papers/IJCRT2501202.pdf
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