DEVELOPMENT OF A HYBRID UAV SENSOR PLATFORM SUITABLE FOR FARM-SCALE APPLICATIONS IN PRECISION AGRICULTURE

8 citations as recorded by crossref.

1. Integrating UAV, UGV and UAV-UGV collaboration in future industrialized agriculture: Analysis, opportunities and challenges Z. Ren et al. https://doi.org/10.1016/j.compag.2024.109631
2. IoT-Based Systems for Soil Nutrients Assessment in Horticulture S. Postolache et al. https://doi.org/10.3390/s23010403
3. UAV-Based and WebRTC-Based Open Universal Framework to Monitor Urban and Industrial Areas A. Chodorek et al. https://doi.org/10.3390/s21124061
4. Usage of High-frequency Positioning of the Hybrid Unmanned Aerial Vehicle for Automatic Location Adjustment under Limited Location Circumstances S. Bondar https://doi.org/10.15407/kvt211.01.051
5. Aerodynamics-Aware Design and Analysis of Controllers for Tailsitter Vehicles K. McIntosh et al. https://doi.org/10.1109/TMECH.2024.3402621
6. Gaussian Process-Driven Incremental Flight Dynamics Control and Center of Gravity Adjustment for Tailsitter UAVs L. Kim et al. https://doi.org/10.1007/s10846-026-02350-8
7. Testing and Simulating a Simplified Precision Autonomous Landing Algorithm for Unmanned Aerial Vehicles (UAV) W. WOSZCZYK (waclaw.woszczyk@student.wat.edu.pl) et al. https://doi.org/10.5604/01.3001.0055.0335
8. NeRF-LAI: A hybrid method combining neural radiance field and gap-fraction theory for deriving effective leaf area index of corn and soybean using multi-angle UAV images Q. Yang et al. https://doi.org/10.1016/j.rse.2025.114844