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Voxel carving‐based 3D reconstruction of sorghum identifies genetic determinants of light interception efficiency
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/pld3.255openalex-snapshot
Voxel carving‐based 3D reconstruction of sorghum identifies genetic determinants of light interception efficiency
inferredcites →https://doi.org/10.1002/ppj2.20001openalex-snapshot
Plant segmentation by supervised machine learning methods
inferredcites →https://doi.org/10.1007/978-3-030-65414-6_21openalex-snapshot
Sorghum Segmentation by Skeleton Extraction
inferredcites →https://doi.org/10.1007/978-3-319-10401-0_20openalex-snapshot
A Cost-Effective Automatic 3D Reconstruction Pipeline for Plants Using Multi-view Images
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High-Resolution Plant Shape Measurements from Multi-view Stereo Reconstruction
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A Model-Based Approach to Recovering the Structure of a Plant from Images
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Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks
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Visual Model of Plant Development with Respect to Influence of Light
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Shape and motion from image streams under orthography: a factorization method
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Identification of genomic regions affecting plant height in sorghum and maize
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Image Analysis in Plant Sciences: Publish Then Perish
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The Contribution of Breeding to Yield Advances in maize (Zea mays L.)
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A Theory of Shape by Space Carving
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Sorghum Dw2 Encodes a Protein Kinase Regulator of Stem Internode Length
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TASSEL: software for association mapping of complex traits in diverse samples
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Functional principal component based time-series genome-wide association in sorghum
inferredcites →https://doi.org/10.1101/706994openalex-snapshot
Simulated Plant Images Improve Maize Leaf Counting Accuracy
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3D sorghum reconstructions from depth images identify QTL regulating shoot architecture
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Increased Power and Accuracy of Causal Locus Identification in Time Series Genome-wide Association in Sorghum
inferredcites →https://doi.org/10.1109/3dv.2016.79openalex-snapshot
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
inferredcites →https://doi.org/10.1109/icarcv.2014.7064306openalex-snapshot
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inferredcites →https://doi.org/10.1109/iros.2013.6696517openalex-snapshot
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inferredcites →https://doi.org/10.1109/iros13647.2008openalex-snapshot
2008 IEEE/RSJ International Conference on Intelligent Robots and Systems
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Inverse Procedural Modelling of Trees
inferredcites →https://doi.org/10.1111/nph.14027openalex-snapshot
High‐throughput estimation of incident light, light interception and radiation‐use efficiency of thousands of plants in a phenotyping platform
inferredcites →https://doi.org/10.1111/tpj.14722openalex-snapshot
Multiscale computational models can guide experimentation and targeted measurements for crop improvement
inferredcites →https://doi.org/10.1126/science.1086072openalex-snapshot
Loss of an MDR Transporter in Compact Stalks of Maize br2 and Sorghum dw3 Mutants
inferredcites →https://doi.org/10.1145/636886.636890openalex-snapshot
An efficient instantiation algorithm for simulating radiant energy transfer in plant models
inferredcites →https://doi.org/10.1534/genetics.115.178608openalex-snapshot
Harnessing Genetic Variation in Leaf Angle to Increase Productivity of Sorghum bicolor
inferredcites →https://doi.org/10.2134/agronj1954.00021962004600050007xopenalex-snapshot
Inheritance of Height in Sorghum1
inferredcites →https://doi.org/10.2134/agronj1968.00021962006000040027xopenalex-snapshot
Field Investigations of the Relationships of Leaf Angle in Corn (Zea mays L.) to Grain Yield and Apparent Photosynthesis1
inferredcites →https://doi.org/10.2135/cropsci1966.0011183x000600040024xopenalex-snapshot
Effect of Height on Yield and Yield Components of Two Isogenic Lines of Sorghum vulgare Pers.1
inferredcites →https://doi.org/10.2135/cropsci1977.0011183x001700060017xopenalex-snapshot
Leaf Orientation and Yield of Maize1
inferredcites →https://doi.org/10.2135/cropsci2007.02.0080openalex-snapshot
Community Resources and Strategies for Association Mapping in Sorghum
inferredcites →https://doi.org/10.2135/cropsci2008.03.0152openalex-snapshot
Can Changes in Canopy and/or Root System Architecture Explain Historical Maize Yield Trends in the U.S. Corn Belt?
inferredcites →https://doi.org/10.22004/ag.econ.288998openalex-snapshot
World agriculture towards 2030/2050: the 2012 revision
inferredcites →https://doi.org/10.3389/fpls.2014.00770openalex-snapshot
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inferredcites →https://doi.org/10.3389/fpls.2016.00745openalex-snapshot
3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies
inferredcites →https://doi.org/10.3389/fpls.2017.00786openalex-snapshot
Crops In Silico: Generating Virtual Crops Using an Integrative and Multi-scale Modeling Platform
inferredcites →https://doi.org/10.3389/fpls.2017.01680openalex-snapshot
Fast High Resolution Volume Carving for 3D Plant Shoot Reconstruction
inferredcites →https://doi.org/10.3389/fpls.2019.00508openalex-snapshot
Leveraging Image Analysis for High-Throughput Plant Phenotyping
inferredcites →https://doi.org/10.3390/rs11182074openalex-snapshot
AdTree: Accurate, Detailed, and Automatic Modelling of Laser-Scanned Trees
inferredcites →https://doi.org/10.3390/s18041187openalex-snapshot
A Novel LiDAR-Based Instrument for High-Throughput, 3D Measurement of Morphological Traits in Maize and Sorghum
inferredcites →https://doi.org/10.34133/2020/4216373openalex-snapshot
Semantic Segmentation of Sorghum Using Hyperspectral Data Identifies Genetic Associations
inferredcites →https://doi.org/10.3920/9789086866649_034openalex-snapshot
MARVIN: high speed 3D imaging for seedling classification
inferredcites →https://doi.org/10.7717/peerj.4088openalex-snapshot
PlantCV v2: Image analysis software for high-throughput plant phenotyping
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Genetics of canopy architecture dynamics in photoperiod‐sensitive and photoperiod‐insensitive sorghum
inferred← citeshttps://doi.org/10.1002/ppj2.70002openalex-snapshot
Sorghum segmentation and leaf counting using in silico trained deep neural model
inferred← citeshttps://doi.org/10.1007/978-3-030-65414-6_21openalex-snapshot
Sorghum Segmentation by Skeleton Extraction
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Dual-Path Deep Learning and Hierarchical Spectral Clustering: A Versatile Framework for Semantic and Instance Segmentation of Plant Point Clouds
inferred← citeshttps://doi.org/10.1016/j.compag.2023.107688openalex-snapshot
Multi-view triangulation without correspondences
inferred← citeshttps://doi.org/10.1016/j.compag.2023.108248openalex-snapshot
3D reconstruction of plants using probabilistic voxel carving
inferred← citeshttps://doi.org/10.1016/j.compag.2023.108566openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eja.2022.126634openalex-snapshot
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Automated 3D Segmentation of Plant Organs via the Plant-MAE: A Self-Supervised Learning Framework
inferred← citeshttps://doi.org/10.1016/j.plaphe.2025.100050openalex-snapshot
A scalable and efficient UAV-based pipeline and deep learning framework for phenotyping sorghum panicle morphology from point clouds
inferred← citeshttps://doi.org/10.1038/s41467-026-74679-5openalex-snapshot
Integrating 3D phenotyping and functional-structural plant models for crop ideotype breeding
inferred← citeshttps://doi.org/10.1093/plcell/koab134openalex-snapshot
Identification and utilization of genetic determinants of trait measurement errors in image-based, high-throughput phenotyping
inferred← citeshttps://doi.org/10.1104/pp.20.00632openalex-snapshot
Toward “Smart Canopy” Sorghum: Discovery of the Genetic Control of Leaf Angle Across Layers
inferred← citeshttps://doi.org/10.1109/iccvw60793.2023.00063openalex-snapshot
Deep learning based 3d reconstruction for phenotyping of wheat seeds: a dataset, challenge, and baseline method
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Specifying Volumes of Interest for Industrial Use Cases
inferred← citeshttps://doi.org/10.1186/s13007-023-01031-zopenalex-snapshot
How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques
inferred← citeshttps://doi.org/10.2139/ssrn.4057882openalex-snapshot
A Comparison of High-Throughput Imaging Methods for Quantifying Plant Growth Traits and Estimating Above-Ground Biomass Accumulation
inferred← citeshttps://doi.org/10.2139/ssrn.4111955openalex-snapshot
A Comparison of High-Throughput Imaging Methods for Quantifying Plant Growth Traits and Estimating Above-Ground Biomass Accumulation
inferred← citeshttps://doi.org/10.2514/6.2025-1057openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs13214445openalex-snapshot
Detection of Outliers in LiDAR Data Acquired by Multiple Platforms over Sorghum and Maize
inferred← citeshttps://doi.org/10.3390/rs16173290openalex-snapshot
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inferred← citeshttps://doi.org/10.34133/2021/9792582openalex-snapshot
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inferred← citeshttps://doi.org/10.7287/peerj.12628v0.1/reviews/1openalex-snapshot
Peer Review #1 of "3D reconstruction identifies loci linked to variation in angle of individual sorghum leaves (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj.12628v0.1/reviews/2openalex-snapshot
Peer Review #2 of "3D reconstruction identifies loci linked to variation in angle of individual sorghum leaves (v0.1)"
inferred← citeshttps://doi.org/10.7717/peerj.12628openalex-snapshot
3D reconstruction identifies loci linked to variation in angle of individual sorghum leaves
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