ArticlePlant phenomics (Washington, D.C.)2024
AppleQSM: Geometry-Based 3D Characterization of Apple Tree Architecture in Orchards.
Article in Plant phenomics (Washington, D.C.), 2024. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Dynamic sparse point voxel transformer for 3D point cloud instance segmentation of dormant apple trees.Plant phenomics (Washington, D.C.) · 2026Article
- InspectGaussian: Large-scale coarse-to-fine Gaussian reconstruction for orchard inspection robots.Plant phenomics (Washington, D.C.) · 2026Article
- Cross-modal data integration and spectral optimization for enhanced individual apple tree canopy nitrogen concentration estimation using UAV remote sensing.Plant phenomics (Washington, D.C.) · 2026Article
- High-fidelity crop modelling: innovations driving sustainable fruit horticulture.Frontiers in plant science · 2026Review
- Structural parameter determination and pruning pattern analysis of pear tree shoots for dormant pruning.Plant phenomics (Washington, D.C.) · 2025Article
- OrchardQuant-3D: combining drone and LiDAR to perform scalable 3D phenotyping for characterising key canopy and floral traits in fruit orchards.Plant biotechnology journal · 2025Article
- A Review of Orchard Canopy Perception Technologies for Variable-Rate Spraying.Sensors (Basel, Switzerland) · 2025Review
- Architectural Analysis for Novel Olive Crop Management.Plants (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The architecture of apple trees plays a pivotal role in shaping their growth and fruit-bearing potential, forming the foundation for precision apple management. Traditionally, 2D imaging technologies were employed to delineate the architectural traits of apple trees, but their accuracy was hampered by occlusion and perspective ambiguities. This study aimed to surmount these constraints by devising a 3D geometry-based processing pipeline for apple tree structure segmentation and architectural trait characterization, utilizing point clouds collected by a terrestrial laser scanner (TLS). The pipeline consisted of four modules: (a) data preprocessing module, (b) tree instance segmentation module, (c) tree structure segmentation module, and (d) architectural trait extraction module. The developed pipeline was used to analyze 84 trees of two representative apple cultivars, characterizing architectural traits such as tree height, trunk diameter, branch count, branch diameter, and branch angle. Experimental results indicated that the established pipeline attained an
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What OpenQuestion holds
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.