Below, we present a list of highly downloaded papers published in 2024. It is our hope that these papers will serve as a valuable reference and source of inspiration for scholars and authors in related fields.

1. “Artificial Intelligence Applied to Drone Control: A State of the Art”
by Daniel Caballero-Martin, Jose Manuel Lopez-Guede, Julian Estevez and Manuel Graña
Drones 2024, 8(7), 296; https://doi.org/10.3390/drones8070296
Available online: https://www.mdpi.com/2504-446X/8/7/296

2. “Drones in Precision Agriculture: A Comprehensive Review of Applications, Technologies, and Challenges”
by Ridha Guebsi, Sonia Mami and Karem Chokmani
Drones 2024, 8(11), 686; https://doi.org/10.3390/drones8110686
Available online: https://www.mdpi.com/2504-446X/8/11/686

3. “Unmanned Aerial Vehicles (UAVs) in Landslide Investigation and Monitoring: A Review”
by Jianwei Sun, Guoqin Yuan, Laiyun Song and Hongwen Zhang
Drones 2024, 8(1), 30; https://doi.org/10.3390/drones8010030
Available online: https://www.mdpi.com/2504-446X/8/1/30

4. “Advancement Challenges in UAV Swarm Formation Control: A Comprehensive Review”
by Yajun Bu, Ye Yan and Yueneng Yang
Drones 2024, 8(7), 320; https://doi.org/10.3390/drones8070320
Available online: https://www.mdpi.com/2504-446X/8/7/320

5. “PHSI-RTDETR: A Lightweight Infrared Small Target Detection Algorithm Based on UAV Aerial Photography”
by Sen Wang, Huiping Jiang, Zhongjie Li, Jixiang Yang, Xuan Ma, Jiamin Chen and Xingqun Tang
Drones 2024, 8(6), 240; https://doi.org/10.3390/drones8060240
Available online: https://www.mdpi.com/2504-446X/8/6/240

6. “A Survey on Vision-Based Anti Unmanned Aerial Vehicles Methods”
by Bingshu Wang, Qiang Li, Qianchen Mao, Jinbao Wang, C. L. Philip Chen, Aihong Shangguan and Haosu Zhang
Drones 2024, 8(9), 518; https://doi.org/10.3390/drones8090518
Available online: https://www.mdpi.com/2504-446X/8/9/518

7. “Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review”
by Zixuan Fang and Andrey V. Savkin
Drones 2024, 8(5), 193; https://doi.org/10.3390/drones8050193
Available online: https://www.mdpi.com/2504-446X/8/5/193

8. “Multi-UAV Path Planning and Following Based on Multi-Agent Reinforcement Learning”
by Xiaoru Zhao, Rennong Yang, Liangsheng Zhong and Zhiwei Hou
Drones 2024, 8(1), 18; https://doi.org/10.3390/drones8010018
Available online: https://www.mdpi.com/2504-446X/8/1/18

9. “Dynamic Scene Path Planning of UAVs Based on Deep Reinforcement Learning”
by Jin Tang, Yangang Liang and Kebo Li
Drones 2024, 8(2), 60; https://doi.org/10.3390/drones8020060
Available online: https://www.mdpi.com/2504-446X/8/2/60