ArticleHorticulture research2019
3D point cloud data to quantitatively characterize size and shape of shrub crops.
Article in Horticulture research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
8 citing papers in PubMed.
- Comparative Analysis of TLS and UAV Sensors for Estimation of Grapevine Geometric Parameters.Sensors (Basel, Switzerland) · 2024Article
- On the 3D point clouds-palm and coconut trees data set extraction and their usages.BMC research notes · 2023Article
- Cotton plant part 3D segmentation and architectural trait extraction using point voxel convolutional neural networks.Plant methods · 2023Article
- Fast reconstruction method of three-dimension model based on dual RGB-D cameras for peanut plant.Plant methods · 2023Article
- MIX-NET: Deep Learning-Based Point Cloud Processing Method for Segmentation and Occlusion Leaf Restoration of Seedlings.Plants (Basel, Switzerland) · 2022Article
- All-around 3D plant modeling system using multiple images and its composition.Breeding science · 2022Article
- Article
- Canopy Roughness: A New Phenotypic Trait to Estimate Aboveground Biomass from Unmanned Aerial System.Plant phenomics (Washington, D.C.) · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Size and shape are important properties of shrub crops such as blueberries, and they can be particularly useful for evaluating bush architecture suited to mechanical harvesting. The overall goal of this study was to develop a 3D imaging approach to measure size-related traits and bush shape that are relevant to mechanical harvesting. 3D point clouds were acquired for 367 bushes from five genotype groups. Point cloud data were preprocessed to obtain clean bush points for characterizing bush architecture, including bush morphology (height, width, and volume), crown size, and shape descriptors (path curve
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.