Crop height determination with UAS point clouds

34 citations as recorded by crossref.

1. Multitemporal field-based plant height estimation using 3D point clouds generated from small unmanned aerial systems high-resolution imagery L. Malambo et al.
2. UAV‐based imaging platform for monitoring maize growth throughout development S. Tirado et al.
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4. Nitrogen and chlorophyll status in romaine lettuce using spectral indices from RGB digital images R. Mendoza-Tafolla et al.
5. Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography J. Wu et al.
6. Cotton Growth Modelling Using UAS-Derived DSM and RGB Imagery V. Psiroukis et al.
7. Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding P. Herzig et al.
8. Crop height estimation of sorghum from high resolution multispectral images using the structure from motion (SfM) algorithm E. Tunca et al.
9. Calibrating ultrasonic sensor measurements of crop canopy heights: a case study of maize and wheat Y. Zheng et al.
10. A novel way to validate UAS-based high-throughput phenotyping protocols using in silico experiments for plant breeding purposes G. Galli et al.
11. Mobile low-cost 3D camera maize crop height measurements under field conditions M. Hämmerle & B. Höfle
12. Estimating plant height, nitrogen uptake and above-ground biomass using UAV multispectral imaging coupled with machine learning in industrial hemp (Cannabis sativa L.) A. Singh et al.
13. Improved Estimation of Cotton Aboveground Biomass Using a New Developed Multispectral Vegetation Index and Particle Swarm Optimization G. Wu et al.
14. High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates S. Madec et al.
15. Winter Wheat Canopy Height Extraction from UAV-Based Point Cloud Data with a Moving Cuboid Filter Y. Song & J. Wang
16. Growth, morphological and yield responses of irrigated wheat (Triticum aestivum L.) genotypes to water stress U. Liwani et al.
17. Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras H. Cen et al.
18. UAV photogrammetry for mapping vegetation in the low-Arctic R. Fraser et al.
19. Geometric vs spectral content of Remotely Piloted Aircraft Systems images in the Precision agriculture context F. Sarvia et al.
20. Temporally resolved growth patterns reveal novel information about the polygenic nature of complex quantitative traits D. Sweet et al.
21. Density estimation method of mature wheat based on point cloud segmentation and clustering R. Zou et al.
22. Using High-Resolution UAV Imaging to Measure Canopy Height of Diverse Cover Crops and Predict Biomass R. Kümmerer et al.
23. An Efficient Approach Based on UAV Orthographic Imagery to Map Paddy With Support of Field-Level Canopy Height From Point Cloud Data H. Liu et al.
24. Influence of Spiral Nematodes (Scutellonema spp.) on Maize Performance and Growth under Natural Field Infestation in Mwea, Kenya S. Maina & R. Nyoike Ng’endo
25. Photogrammetry for assessment of pasture biomass K. Wigley et al.
26. Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment C. Stanton et al.
27. Field estimation of maize plant height at jointing stage using an RGB-D camera R. Qiu et al.
28. Plant height measurement using UAV-based aerial RGB and LiDAR images in soybean L. Pun Magar et al.
29. Low-Cost Lettuce Height Measurement Based on Depth Vision and Lightweight Instance Segmentation Model Y. Zhao et al.
30. Biomass Prediction of Heterogeneous Temperate Grasslands Using an SfM Approach Based on UAV Imaging E. Grüner et al.
31. Direct derivation of maize plant and crop height from low-cost time-of-flight camera measurements M. Hämmerle & B. Höfle
32. Spatio-temporal evaluation of plant height in corn via unmanned aerial systems S. Varela et al.
33. Random forests to detect subsoiling and subsurface drainage effects on corn plant height and water table depth A. Djiemon et al.
34. Field phenotyping of plant height in an upland rice field in Laos using low-cost small unmanned aerial vehicles (UAVs) K. Kawamura et al.