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

12 citations as recorded by crossref.

1. 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
2. An automated system for 2D building detection from UAV-based geospatial datasets A. Elaksher et al. 10.1016/j.optlaseng.2024.108602
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. A Comprehensive Review of LiDAR Applications in Crop Management for Precision Agriculture S. Farhan et al. 10.3390/s24165409
5. Evaluation of Maize Crop Damage Using UAV-Based RGB and Multispectral Imagery B. Dobosz et al. 10.3390/agriculture13081627
6. 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
7. Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review B. Gano et al. 10.1002/ppj2.20100
8. Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data K. Dilmurat et al. 10.3390/rs14194786
9. Estimating LAI for Cotton Using Multisource UAV Data and a Modified Universal Model P. Yan et al. 10.3390/rs14174272
10. 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
11. Multispectral Images for Drought Stress Evaluation of Arabica Coffee Genotypes Under Different Irrigation Regimes P. da Silva et al. 10.3390/s24227271
12. UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping C. Nguyen et al. 10.3390/s23041827