High-precision tobacco phenotype extraction based on 3D point clouds

No abstract is available for this paper.

• Publication year

  2025

• Venue

  Computers and Electronics in Agriculture

• Publication date

  2025-12-01

• Fields of study

  Agricultural and Food Sciences, Computer Science

• Identifiers
  DOI 10.1016/j.compag.2025.111078
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• The application of UAV technology in maize crop protection strategies: A review

  2025cited by this paper
• Multiscale phenotyping of grain crops based on three-dimensional models: A comprehensive review of trait detection

  2025cited by this paper
• FACNet: A high-precision pumpkin seedling point cloud organ segmentation method

  2025cited by this paper
• 3D-based precise evaluation pipeline for maize ear rot using multi-view stereo reconstruction and point cloud semantic segmentation

  2024cited by this paper
• PlantSegNet: 3D point cloud instance segmentation of nearby plant organs with identical semantics

  2024cited by this paper
• Cotton plant part 3D segmentation and architectural trait extraction using point voxel convolutional neural networks

  2023cited by this paper
• FF-Net: Feature-Fusion-Based Network for Semantic Segmentation of 3D Plant Point Cloud

  2023cited by this paper
• Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform

  2023cited by this paper
• Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation

  2023cited by this paper
• Three-dimensional reconstruction and phenotype measurement of maize seedlings based on multi-view image sequences

  2022cited by this paper
• Automatic organ-level point cloud segmentation of maize shoots by integrating high-throughput data acquisition and deep learning

  2022cited by this paper
• Registration of spatio-temporal point clouds of plants for phenotyping

  2021cited by this paper
• A Survey on Deep Semi-Supervised Learning

  2021cited by this paper
• Automatic stem-leaf segmentation of maize shoots using three-dimensional point cloud

  2021cited by this paper
• Quantitative potato tuber phenotyping by 3D imaging

  2021cited by this paper
• Plant Leaf Segmentation and Phenotypic Analysis Based on Fully Convolutional Neural Network

  2021cited by this paper
• 3D model processing for high throughput phenotype extraction - the case of corn

  2020cited by this paper
• Leveraging Image Analysis to Compute 3D Plant Phenotypes Based on Voxel-Grid Plant Reconstruction

  2020cited by this paper
• Simple and Deep Graph Convolutional Networks

  2020cited by this paper
• Point Cloud Normal Estimation by Fast Guided Least Squares Representation

  2020cited by this paper
• Non-Destructive Measurement of Three-Dimensional Plants Based on Point Cloud

  2020cited by this paper
• MVS-Pheno: A Portable and Low-Cost Phenotyping Platform for Maize Shoots Using Multiview Stereo 3D Reconstruction

  2020cited by this paper
• ColourQuant: A High-Throughput Technique to Extract and Quantify Color Phenotypes from Plant Images.

  2019cited by this paper
• Dynamic Graph CNN for Learning on Point Clouds

  2018cited by this paper
• Translating High-Throughput Phenotyping into Genetic Gain

  2018cited by this paper
• Inductive Representation Learning on Large Graphs

  2017cited by this paper
• Validation of a low-cost 2D laser scanner in development of a more-affordable mobile terrestrial proximal sensing system for 3D plant structure phenotyping in indoor environment

  2017cited by this paper
• A Survey of Surface Reconstruction from Point Clouds

  2017cited by this paper
• Plant phenotyping: from bean weighing to image analysis

  2015cited by this paper
• Breeding and Selecting of a New Flue-cured Tobacco Variety Nanjiang 3 and its Characteristics

  2009cited by this paper
• A systematic analysis of performance measures for classification tasks

  2009cited by this paper
• The ball-pivoting algorithm for surface reconstruction

  1999cited by this paper

• No citing papers are available for this paper.