[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 …
Maize stem–leaf segmentation framework based on deformable point clouds
X Yang, T Miao, X Tian, D Wang, J Zhao, L Lin… - ISPRS Journal of …, 2024 - Elsevier
The efficacy of three-dimensional (3D) point clouds in studying crop morphological
structures is based on their direct and accurate data presentation ability. With deep-learning …
structures is based on their direct and accurate data presentation ability. With deep-learning …
3D reconstruction and characterization of cotton bolls in situ based on UVA technology
S ** with organ-level instance segmentation from point cloud
Abstract Three-dimensional (3D) plant phenoty** techniques measure organ-level traits
effectively and provide detailed plant growth information to breeders. In apple tree breeding …
effectively and provide detailed plant growth information to breeders. In apple tree breeding …
Estimation of cotton boll number and main stem length based on 3D gaussian splatting
Cotton is an important economic crop widely grown worldwide to produce textiles. Breeding
programs aim to select genotypes with desirable architectural traits to develop new varieties …
programs aim to select genotypes with desirable architectural traits to develop new varieties …
Research on visualization of cotton canopy structure and extraction of feature parameters based on dual-perspective point cloud data
Y Hu, S Wen, L Zhang, Y Lan… - International Journal of …, 2024 - Taylor & Francis
Cotton is one of the crops that requires the most time and labor. Precision agriculture
technology is required for efficient management of cotton, and the identification of cotton …
technology is required for efficient management of cotton, and the identification of cotton …
[HTML][HTML] Using high-throughput phenotype platform MVS-Pheno to reconstruct the 3D morphological structure of wheat
W Li, S Wu, W Wen, X Lu, H Liu, M Zhang, P **ao… - AoB Plants, 2024 - ncbi.nlm.nih.gov
It is of great significance to study the plant morphological structure for improving crop yield
and achieving efficient use of resources. Three dimensional (3D) information can more …
and achieving efficient use of resources. Three dimensional (3D) information can more …
[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] Automated Phenotypic Analysis of Mature Soybean Using Multi-View Stereo 3D Reconstruction and Point Cloud Segmentation
D Cui, P Liu, Y Liu, Z Zhao, J Feng - Agriculture, 2025 - mdpi.com
Phenotypic analysis of mature soybeans is a critical aspect of soybean breeding. However,
manually obtaining phenotypic parameters not only is time-consuming and labor intensive …
manually obtaining phenotypic parameters not only is time-consuming and labor intensive …
[HTML][HTML] A Method for Quantifying Mung Bean Field Planting Layouts Using UAV Images and an Improved YOLOv8-obb Model
K Yang, X Sun, R Li, Z He, X Wang, C Wang, B Wang… - Agronomy, 2025 - mdpi.com
Quantifying planting layouts during the seedling stage of mung beans (Vigna radiata L.) is
crucial for assessing cultivation conditions and providing support for precise management …
crucial for assessing cultivation conditions and providing support for precise management …