[HTML][HTML] Comprehensive review on 3D point cloud segmentation in plants
H Song, W Wen, S Wu, X Guo - Artificial Intelligence in Agriculture, 2025 - Elsevier
Segmentation of three-dimensional (3D) point clouds is fundamental in comprehending
unstructured structural and morphological data. It plays a critical role in research related to …
unstructured structural and morphological data. It plays a critical role in research related to …
From Images to Loci: Applying 3D Deep Learning to Enable Multivariate and Multitemporal Digital Phenotyping and Mapping the Genetics Underlying Nitrogen Use …
J Chen, Q Li, D Jiang - Plant Phenomics, 2024 - spj.science.org
The selection and promotion of high-yielding and nitrogen-efficient wheat varieties can
reduce nitrogen fertilizer application while ensuring wheat yield and quality and contribute to …
reduce nitrogen fertilizer application while ensuring wheat yield and quality and contribute to …
[HTML][HTML] 3D neural architecture search to optimize segmentation of plant parts
F Saeed, C Tan, T Liu, C Li - Smart Agricultural Technology, 2025 - Elsevier
Accurately segmenting plant parts from imagery is vital for improving crop phenotypic traits.
However, current 3D deep learning models for segmentation in point cloud data require …
However, current 3D deep learning models for segmentation in point cloud data require …
[HTML][HTML] Segment Any Leaf 3D: A Zero-Shot 3D Leaf Instance Segmentation Method Based on Multi-View Images
Y Wang, Z Zhang - Sensors, 2025 - mdpi.com
Exploring the relationships between plant phenotypes and genetic information requires
advanced phenotypic analysis techniques for precise characterization. However, the …
advanced phenotypic analysis techniques for precise characterization. However, the …
Procedural Generation of 3D Maize Plant Architecture from LIDAR Data
M Hadadi, M Saraeian, J Godbersen, T Jubery… - arXiv preprint arXiv …, 2025 - arxiv.org
This study introduces a robust framework for generating procedural 3D models of maize
(Zea mays) plants from LiDAR point cloud data, offering a scalable alternative to traditional …
(Zea mays) plants from LiDAR point cloud data, offering a scalable alternative to traditional …