Drones MDPI published a highly cited paper estimating the effective leaf area index of winter wheat using UAV point cloud data.
Published
Signal category
Research & Knowledge
Quote
“Estimating Effective Leaf Area Index of Winter Wheat Based on #UAV Point Cloud Data”
— Drones MDPI team
Company
Drones MDPI
International Peer-Reviewed Open Access journal on Drones, UAV, UAS, RPAS by MDPI. IF 2025: 5.2; CiteScore 2025: 10.0
- Industry
- Book and Periodical Publishing
- Location
- Basel, CH
- Company size
- 3 employees
Drones (ISSN 2504-446X) is an international open access, peer reviewed journal. The journal focuses on design and applications of drones, including unmanned aerial vehicle (UAV), Unmanned Aircraft Systems (UAS), and Remotely Piloted Aircraft Systems (RPAS), etc. Likewise, contributions based on unmanned water/underwater drones and unmanned ground vehicles are also welcomed. Drones was indexed in Scopus and SCIE, the first CiteScore is 5.4, will receive its first Impact Factor in 2022.
Founded 2017