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

7 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. Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data K. Dilmurat et al. 10.3390/rs14194786
3. GNSS-IMU-assisted colored ICP for UAV-LiDAR point cloud registration of peach trees W. Yuan et al. 10.1016/j.compag.2022.106966
4. Estimating LAI for Cotton Using Multisource UAV Data and a Modified Universal Model P. Yan et al. 10.3390/rs14174272
5. 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
6. Evaluation of Maize Crop Damage Using UAV-Based RGB and Multispectral Imagery B. Dobosz et al. 10.3390/agriculture13081627
7. UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping C. Nguyen et al. 10.3390/s23041827