International Journal on Drones

Latest articles

• Published Subscription Review Article 30 Apr 2026

  Adaptive Robust Constraint-Based Nonlinear Control for Trajectory Tracking and Dynamic Obstacle Avoidance in Multi-copter UAVs

  By E. Dhananjaya

  Abstract: An adaptive robust nonlinear control system for multi-copter unmanned aerial vehicles (UAVs) trajectory tracking and obstacle avoidance is presented in this research. The suggested approach addresses nonlinear dynamics and environmental uncertainties by combining adaptive disturbance estimates with constraint-based control. Nonlinear differential equations are used to simulate the motion of the UAV, with obstacle avoidance represented as an inequality constraint and trajectory tracking as an equality constraint. The Udwadia–Kalaba method is …

  Published in International Journal on Drones · Vol. 2, Issue 2, 2026 · pp. 01–08 Read article →

• Published Subscription Review Article 18 Mar 2026

  Trends, Challenges, and the Future of Unmanned Aerial Systems

  By Rajesh Sharma

  Abstract: The rapid evolution of unmanned aerial vehicles (UAVs), commonly referred to as drones, has transformed numerous domains — from military surveillance and logistics to precision agriculture and atmospheric research. This paper examines the current state of drone technology, industry trends, regulatory frameworks, socio-economic impacts, ethical considerations, and future research directions. With contributions from multidisciplinary studies, this review emphasizes emerging technologies, performance metrics, risk factors, and opportunities for innovation. In recent …

  Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 27–33 Read article →

• Published Subscription Original Research 18 Mar 2026

  The Future of Farming with IoT-Operated Drones

  By Heena T. Shaikh, Kazi Kutubuddin Sayyad Liyakat*

  Abstract: The integration of Internet of Things (IoT) technology with drone systems has revolutionized precision agriculture, offering innovative solutions to address the inefficiencies and environmental concerns linked to conventional pesticide application. This study explores the design, implementation, and impact of IoT-operated drones tailored for automated pesticide spraying. By leveraging real-time sensor data, AI-driven analytics, and cloud-based connectivity, these drones enable dynamic, data-informed decisions to optimize chemical application. Results indicate that IoT-enabled …

  Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 20–26 Read article →

• Published Subscription Original Research 18 Mar 2026

  Electronic Drones: Technology, Applications, and Future Directions

  By Chetan Mehra

  Abstract: Electronic drones, commonly referred to as Unmanned Aerial Vehicles (UAVs), have transitioned from exclusively military platforms to indispensable tools across commercial, scientific, industrial, and recreational domains. The rapid evolution of electronics, flight control systems, communication networks, onboard sensors, and artificial intelligence has reshaped drone capabilities, enabling high-precision remote sensing, autonomous navigation, swarm behavior, and integration into complex systems like the Internet of Drones (IoD). This paper examines the technological building …

  Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 15–19 Read article →

• Published Subscription Review Article 10 Mar 2026

  Optimization of Pesticide Requirement Calculations for IoT-Operated Hexacopter Delivery Systems

  By Heena T. Shaikh*, Kazi Kutubuddin Sayyad Liyakat

  Abstract: The integration of Internet of Things (IoT) technology into precision agriculture has transformed pesticide application strategies, enabling resource-efficient and environmentally sustainable practices. This study presents a computational methodology for optimizing pesticide requirements in an IoT-operated hexacopter system, designed for dynamic, data-driven pesticide delivery. Leveraging a fusion of real-time telemetric data from onboard LiDAR, multispectral imaging sensors, and environmental monitoring modules, the system employs predictive analytics and edge computing to calculate …

  Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 08–14 Read article →

• Published Subscription Review Article 13 Feb 2026

  Aerodynamic Optimization of UAV Wings Using Machine Learning

  By Nidhi Sahu*, Rohit Singh Rathor, Nara Siman

  Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …

  Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article →

• Published Subscription Review Article 30 Oct 2025

  Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions

  By Rajesh Singh

  Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …

  Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article →

• Published Subscription Review Article 30 Oct 2025

  Study of Agriculture Using Drones in India: Evaluation of Feasibility, Impact, and Adoption Challenges

  By Kazi Kutubuddin Sayyad Liyakat, Muskan Pathan

  Abstract: Studies in India show that drone technology is revolutionizing agriculture by enabling precision farming, increasing crop yields, reducing costs, and improving sustainability. Key applications include using drones for efficient spraying, crop monitoring via multispectral sensors, soil health analysis, and optimized water management. Government initiatives like the "Kisan Drones" program are promoting adoption, supported by research that demonstrates significant benefits like yield increases and resource savings[1-3]. Figure 1 shows the usage …

  Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 21–33 Read article →

All 16 articles in this journal →