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@article{170379,
        author = {Prof. Jyoti Kanjalkar and Prof. Pramod Kanjalkar and Varun Phalke and Akshaj Kant and Vedant Thokal and Jainil Vaidya and Marmik Shah},
        title = {ENERGY- EFFICIENT AUTONOMOUS DRONE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {1079-1086},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170379},
        abstract = {In this research, there is the design, development, and evaluation of an autonomous smart delivery drone system with advanced features to make it highly efficient and secure while enhancing the speed of delivering parcels or other materials. Through this new approach, many significant problems facing traditional systems have been eradicated since they incorporate real-time data along with machine learning for detecting and evading obstacles. Construction of the drone should have less energy consumption. Therefore, it will facilitate a longer flight and remain airborne in an airspace. Studies were also conducted on various aspects including the use of smart drones in e-commerce, the delivery of medication through a medical supply company, and environmental monitoring systems. These studies pointed to a higher system efficiency such as optimization routes and better accuracy concerning the deliveries.},
        keywords = {Autonomous Drone, Delivery systems, AI- navigation, AI-driven , Energy Efficiency , Software, Hardware.},
        month = {December},
        }