HIGH ACCURACY DIRECT GEOREFERENCING OF THE ALTUM MULTI-SPECTRAL UAV CAMERA AND ITS APPLICATION TO HIGH THROUGHPUT PLANT PHENOTYPING

12 citations as recorded by crossref.

1. Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry J. Jurado et al. 10.1016/j.jag.2022.102856
2. Retrieving BRDFs from UAV-based radiometers for fiducial reference measurements: caveats and recommendations S. Schunke et al. 10.3389/frsen.2023.1285800
3. Utilization of Unmanned Aerial Vehicle for Monitoring and Surveillance of Aquaculture Farms: A Proposed Framework . Ram Eujohn J. Diamante 10.51583/IJLTEMAS.2024.130811
4. Yearly weather variation and surface temperature drives the spatiotemporal dynamics of a threatened butterfly and its host plant M. Franzén et al. 10.3389/fevo.2022.917991
5. Classification of Soybean Pubescence from Multispectral Aerial Imagery R. Bruce et al. 10.34133/2021/9806201
6. Estimation of Maize Foliar Temperature and Stomatal Conductance as Indicators of Water Stress Based on Optical and Thermal Imagery Acquired Using an Unmanned Aerial Vehicle (UAV) Platform K. Brewer et al. 10.3390/drones6070169
7. Weed Detection from Unmanned Aerial Vehicle Imagery Using Deep Learning—A Comparison between High-End and Low-Cost Multispectral Sensors A. Seiche et al. 10.3390/s24051544
8. Predicting the Chlorophyll Content of Maize over Phenotyping as a Proxy for Crop Health in Smallholder Farming Systems K. Brewer et al. 10.3390/rs14030518
9. The Conception of Test Fields for Fast Geometric Calibration of the FLIR VUE PRO Thermal Camera for Low-Cost UAV Applications A. Fryskowska-Skibniewska et al. 10.3390/s22072468
10. An Analysis of Image Processing In Forestry and Agriculture Review A. Mosslah & A. Abbas 10.1088/1755-1315/1202/1/012003
11. Limitations of a Multispectral UAV Sensor for Satellite Validation and Mapping Complex Vegetation B. Cottrell et al. 10.3390/rs16132463
12. Demystifying the Differences between Structure-from-MotionSoftware Packages for Pre-Processing Drone Data T. Pell et al. 10.3390/drones6010024