Terrestrial laser scanning for plant height measurement and biomass estimation of maize

11 citations as recorded by crossref.

1. Plant height measurement using UAV-based aerial RGB and LiDAR images in soybean L. Pun Magar et al. https://doi.org/10.3389/fpls.2025.1488760
2. Banana plant counting and morphological parameters measurement based on terrestrial laser scanning Y. Miao et al. https://doi.org/10.1186/s13007-022-00894-y
3. Advances in the Application of Small Unoccupied Aircraft Systems (sUAS) for High-Throughput Plant Phenotyping I. Ayankojo et al. https://doi.org/10.3390/rs15102623
4. Spatial controls of topsoil and subsoil organic carbon turnover under C3–C4 vegetation change H. Schiedung et al. https://doi.org/10.1016/j.geoderma.2017.05.006
5. A Single-Operator Push-Cart Multi-Beam LiDAR Platform for Multi-Trait Field Phenotyping M. Siebers et al. https://doi.org/10.3390/s26144444
6. Field-measured canopy height may not be as accurate and heritable as believed: evidence from advanced 3D sensing J. Zang et al. https://doi.org/10.1186/s13007-023-01012-2
7. Bathymetry and Agricultural Crop Studies From ICESat‐2: The Density‐Dimension Algorithm X. Lu et al. https://doi.org/10.1029/2024EA004037
8. Prospects of Improving Agricultural and Water Productivity through Unmanned Aerial Vehicles L. Nhamo et al. https://doi.org/10.3390/agriculture10070256
9. Delving into the Potential of Deep Learning Algorithms for Point Cloud Segmentation at Organ Level in Plant Phenotyping K. Xie et al. https://doi.org/10.3390/rs16173290
10. An automatic method for counting wheat tiller number in the field with terrestrial LiDAR Y. Fang et al. https://doi.org/10.1186/s13007-020-00672-8
11. Can agriculture technology improve food security in low- and middle-income nations? a systematic review R. Brenya et al. https://doi.org/10.1039/D2FB00050D