UAV-BASED SORGHUM GROWTH MONITORING: A COMPARATIVE ANALYSIS OF LIDAR AND PHOTOGRAMMETRY

9 citations as recorded by crossref.

1. Evaluation of Leaf Area Index (LAI) of Broadacre Crops Using UAS-Based LiDAR Point Clouds and Multispectral Imagery F. Zhang et al. 10.1109/JSTARS.2022.3172491
2. Unmanned Aerial Vehicle-Based Techniques for Monitoring and Prevention of Invasive Apple Snails (Pomacea canaliculata) in Rice Paddy Fields S. Guan et al. 10.3390/agriculture14020299
3. Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review B. Gano et al. 10.1002/ppj2.20100
4. Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data K. Dilmurat et al. 10.3390/rs14194786
5. GNSS-IMU-assisted colored ICP for UAV-LiDAR point cloud registration of peach trees W. Yuan et al. 10.1016/j.compag.2022.106966
6. Estimating LAI for Cotton Using Multisource UAV Data and a Modified Universal Model P. Yan et al. 10.3390/rs14174272
7. Comparison of Unmanned Aerial Vehicle-LiDAR and Image-Based Mobile Mapping System for Assessing Road Geometry Parameters via Digital Terrain Models B. Suleymanoglu et al. 10.1177/03611981231157730
8. Evaluation of Maize Crop Damage Using UAV-Based RGB and Multispectral Imagery B. Dobosz et al. 10.3390/agriculture13081627
9. UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping C. Nguyen et al. 10.3390/s23041827