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

18 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.
2. Application of LiDAR Sensors for Crop and Working Environment Recognition in Agriculture: A Review M. Karim et al.
3. An automated system for 2D building detection from UAV-based geospatial datasets A. Elaksher et al.
4. GNSS-IMU-assisted colored ICP for UAV-LiDAR point cloud registration of peach trees W. Yuan et al.
5. Plant height measurement using UAV-based aerial RGB and LiDAR images in soybean L. Pun Magar et al.
6. A Comprehensive Review of LiDAR Applications in Crop Management for Precision Agriculture S. Farhan et al.
7. Evaluation of Maize Crop Damage Using UAV-Based RGB and Multispectral Imagery B. Dobosz et al.
8. Evaluation of Leaf Area Index (LAI) of Broadacre Crops Using UAS-Based LiDAR Point Clouds and Multispectral Imagery F. Zhang et al.
9. Spatial analysis of cell patterning to aid genetic and phenotypic understanding of grass stomatal density: A case study in maize J. Hodge & A. Leakey
10. Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review B. Gano et al.
11. Enhancing snap bean yield prediction through synergistic integration of UAS-Based LiDAR and multispectral imagery F. Zhang et al.
12. Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data K. Dilmurat et al.
13. Drones in Precision Agriculture: A Comprehensive Review of Applications, Technologies, and Challenges R. Guebsi et al.
14. Estimating LAI for Cotton Using Multisource UAV Data and a Modified Universal Model P. Yan et al.
15. 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.
16. Harnessing enviro-typing for the development of resilient crops: advancing environmental characterization in crop improvement strategies A. Tessema et al.
17. Multispectral Images for Drought Stress Evaluation of Arabica Coffee Genotypes Under Different Irrigation Regimes P. da Silva et al.
18. UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping C. Nguyen et al.