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  • Drones | An Open Access Journal from MDPI
    To address the challenges in UAV remote sensing imagery, such as small object size, dense occlusion and complex background interference, this paper proposes an enhanced small object detection algorithm based on an improved YOLOv13 model for drone applications in complex weather environments First, an enhanced feature fusion attention network (EFFA-Net) is designed in the preprocessing stage
  • Artificial Intelligence Applied to Drone Control: A State of the Art - MDPI
    The integration of Artificial Intelligence (AI) tools and techniques has provided a significant advance in drone technology Besides the military applications, drones are being increasingly used for logistics and cargo transportation, agriculture, construction, security and surveillance, exploration, and mobile wireless communication The synergy between drones and AI has led to notable
  • Drone-Aided Delivery Methods, Challenge, and the Future: A . . .
    With the increasing interest in this technology, it is crucial for researchers and practitioners to understand the current state of the art in drone delivery This paper aims to review the current literature on drone delivery and identify research trends, challenges, and future research directions
  • Development of a Solar-Powered Unmanned Aerial Vehicle for . . . - MDPI
    Having an exciting array of applications, the scope of unmanned aerial vehicle (UAV) application could be far wider one if its flight endurance can be prolonged Solar-powered UAV, promising notable prolongation in flight endurance, is drawing increasing attention in the industries’ recent research and development This work arose from a Bachelor’s degree capstone project at Hong Kong
  • A Review of Indian-Based Drones in the Agriculture Sector . . . - MDPI
    The research presented in this study explores the economic, regulatory, and technological progress related to the adoption of drone technology in Indian agriculture It fills existing gaps in the literature concerning the feasibility and practical application of drones in farming The key contributions of this study are as follows
  • Systemic Review and Meta-Analysis: The Application of AI-Powered Drone . . .
    Therefore, the aim of the paper is to identify the state of research of AI-powered drones in identifying and categorising waste This paper will conduct a systematic review and meta-analysis on the application of drone technology integrated with image sensing technology and deep learning methods for waste management
  • Cost-Effective Autonomous Drone Navigation Using Reinforcement . . . - MDPI
    The research results indicate that a drone navigation system using machine learning algorithms can be relatively easily implemented if it is based on open-source tools, significantly reducing implementation costs
  • Drones | Section Drone Design and Development - MDPI
    This Section focuses on Drone Design and Development This includes research efforts related to the modeling, flight dynamics, design, mission, and manufacturing of various sizes of drones, such as unmanned air vehicles (UAV), micro-unmanned air vehicles (μUAV), micro air vehicles (MAV), and nano air vehicles (NAV) Additionally, different types of drones, including fixed-wing, rotary-wing
  • Drones | Special Issue : Feature Papers of Drones - MDPI
    This research paper focuses on providing an algorithm by which (Unmanned Aerial Vehicles) UAVs can be used to provide optimal routes for agricultural applications such as, fertilizers and pesticide spray, in crop fields





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