Research graph
References from Extracting Key Phenotypic Parameters of Maize Plants Using Mobile Laser Scanning and Individual-Plant Segmentation. Local targets link to admitted publications; unresolved targets remain external evidence.
10.3390/agronomy12040958
10.3390/agronomy12040958 · External reference
Moving toward Short Stature Maize: The Effect of Plant Height on Maize Stalk Lodging Resistance
10.1016/j.fcr.2023.109008 · 2023 · External reference
High-Throughput Field Crop Phenotyping: Current Status and Challenges
10.1270/jsbbs.21069 · 2022 · External reference
10.13031/aim.202100428
10.13031/aim.202100428 · External reference
Multiscale Phenotyping of Grain Crops Based on Three-Dimensional Models: A Comprehensive Review of Trait Detection
10.1016/j.compag.2025.110597 · 2025 · External reference
10.1109/bigdata.2018.8622428
10.1109/bigdata.2018.8622428 · External reference
A Method for Obtaining Maize Phenotypic Parameters Based on Improved QuickShift Algorithm
10.1016/j.compag.2023.108341 · 2023 · External reference
10.3390/drones7020108
10.3390/drones7020108 · External reference
Quantitative Potato Tuber Phenotyping by 3D Imaging
10.1016/j.biosystemseng.2021.08.001 · 2021 · External reference
10.3390/agriculture15242573
10.3390/agriculture15242573 · External reference
Unresolved reference
External reference
Semantic Mapping for Orchard Environments by Merging Two-sides Reconstructions of Tree Rows
10.1002/rob.21876 · 2020 · External reference
Extraction of phenotypic information of maize plants in field by ter-restrial laser scanning
2019 · External reference
Extraction of Maize Leaf Base and Inclination Angles Using Terrestrial Laser Scanning (TLS) Data
2022 · External reference
10.3390/agronomy14051069
10.3390/agronomy14051069 · External reference
Banana Plant Counting and Morphological Parameters Measurement Based on Terrestrial Laser Scanning
10.1186/s13007-022-00894-y · 2022 · External reference
Improvement of a Ground-LiDAR-Based Corn Plant Population and Spacing Measurement System
10.1016/j.compag.2014.11.026 · 2015 · External reference
Maize and Soybean Heights Estimation from Unmanned Aerial Vehicle (UAV) LiDAR Data
10.1016/j.compag.2021.106005 · 2021 · External reference
10.3390/rs15040964
10.3390/rs15040964 · External reference
10.3390/s18041187
10.3390/s18041187 · External reference
10.3390/s19051201
10.3390/s19051201 · External reference
10.3389/fpls.2019.00554
10.3389/fpls.2019.00554 · External reference
10.3390/s25092854
10.3390/s25092854 · External reference
Stem–Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data
10.1109/tgrs.2018.2866056 · 2019 · External reference
Tensor-Based Classification and Segmentation of Three-Dimensional Point Clouds for Or-gan-Level Plant Phenotyping and Growth Analysis
10.1016/j.compag.2018.10.036 · 2019 · External reference
10.3390/agronomy15030740
10.3390/agronomy15030740 · External reference
10.1109/cvpr.2017.16
10.1109/cvpr.2017.16 · External reference
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
2017 · External reference
Automatic Organ-Level Point Cloud Segmentation of Maize Shoots by Integrating High-Throughput Data Acquisition and Deep Learning
10.1016/j.compag.2022.106702 · 2022 · External reference
Maize Stem–Leaf Segmentation Framework Based on Deformable Point Clouds
10.1016/j.isprsjprs.2024.03.025 · 2024 · External reference
10.3389/fpls.2018.00866
10.3389/fpls.2018.00866 · External reference
Automatic Segmentation of Stem and Leaf Components and Individual Maize Plants in Field Terrestrial LiDAR Data Using Convolutional Neural Networks
10.1016/j.cj.2021.10.010 · 2022 · External reference
10.3390/agriculture12091450
10.3390/agriculture12091450 · External reference
A Single Plant Segmentation Method of Maize Point Cloud Based on Euclidean Clustering and K-Means Clustering
10.1016/j.compag.2023.107951 · 2023 · External reference
10.3390/rs16173290
10.3390/rs16173290 · External reference
PACANet: A Paired-Attention Central Axis Aggregation Network for Plant Population Point Cloud Segmentation and Phenotypic Trait Extraction—A Case Study on Maize
10.1016/j.compag.2025.110611 · 2025 · External reference
10.1109/iros45743.2020.9341176
10.1109/iros45743.2020.9341176 · External reference
10.1109/cvpr52733.2024.00463
10.1109/cvpr52733.2024.00463 · External reference
10.1109/cvpr42600.2020.00492
10.1109/cvpr42600.2020.00492 · External reference
10.1109/iccv48922.2021.01518
10.1109/iccv48922.2021.01518 · External reference
10.1109/icra48891.2023.10160590
10.1109/icra48891.2023.10160590 · External reference
Unresolved reference
External reference
Semantic Mapping for Orchard Environments by Merging Two-sides Reconstructions of Tree Rows
10.1002/rob.21876 · ExternalCitation · doi-reference
Quantitative Potato Tuber Phenotyping by 3D Imaging
10.1016/j.biosystemseng.2021.08.001 · ExternalCitation · doi-reference
Automatic Segmentation of Stem and Leaf Components and Individual Maize Plants in Field Terrestrial LiDAR Data Using Convolutional Neural Networks
10.1016/j.cj.2021.10.010 · ExternalCitation · doi-reference
Improvement of a Ground-LiDAR-Based Corn Plant Population and Spacing Measurement System
10.1016/j.compag.2014.11.026 · ExternalCitation · doi-reference
Tensor-Based Classification and Segmentation of Three-Dimensional Point Clouds for Or-gan-Level Plant Phenotyping and Growth Analysis
10.1016/j.compag.2018.10.036 · ExternalCitation · doi-reference
Maize and Soybean Heights Estimation from Unmanned Aerial Vehicle (UAV) LiDAR Data
10.1016/j.compag.2021.106005 · ExternalCitation · doi-reference
Automatic Organ-Level Point Cloud Segmentation of Maize Shoots by Integrating High-Throughput Data Acquisition and Deep Learning
10.1016/j.compag.2022.106702 · ExternalCitation · doi-reference
A Single Plant Segmentation Method of Maize Point Cloud Based on Euclidean Clustering and K-Means Clustering
10.1016/j.compag.2023.107951 · ExternalCitation · doi-reference
A Method for Obtaining Maize Phenotypic Parameters Based on Improved QuickShift Algorithm
10.1016/j.compag.2023.108341 · ExternalCitation · doi-reference
Multiscale Phenotyping of Grain Crops Based on Three-Dimensional Models: A Comprehensive Review of Trait Detection
10.1016/j.compag.2025.110597 · ExternalCitation · doi-reference
PACANet: A Paired-Attention Central Axis Aggregation Network for Plant Population Point Cloud Segmentation and Phenotypic Trait Extraction—A Case Study on Maize
10.1016/j.compag.2025.110611 · ExternalCitation · doi-reference
Moving toward Short Stature Maize: The Effect of Plant Height on Maize Stalk Lodging Resistance
10.1016/j.fcr.2023.109008 · ExternalCitation · doi-reference
Maize Stem–Leaf Segmentation Framework Based on Deformable Point Clouds
10.1016/j.isprsjprs.2024.03.025 · ExternalCitation · doi-reference
10.1109/bigdata.2018.8622428
10.1109/bigdata.2018.8622428 · ExternalCitation · doi-reference
10.1109/cvpr.2017.16
10.1109/cvpr.2017.16 · ExternalCitation · doi-reference
10.1109/cvpr42600.2020.00492
10.1109/cvpr42600.2020.00492 · ExternalCitation · doi-reference
10.1109/cvpr52733.2024.00463
10.1109/cvpr52733.2024.00463 · ExternalCitation · doi-reference
10.1109/iccv48922.2021.01518
10.1109/iccv48922.2021.01518 · ExternalCitation · doi-reference
10.1109/icra48891.2023.10160590
10.1109/icra48891.2023.10160590 · ExternalCitation · doi-reference
10.1109/iros45743.2020.9341176
10.1109/iros45743.2020.9341176 · ExternalCitation · doi-reference
Stem–Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data
10.1109/tgrs.2018.2866056 · ExternalCitation · doi-reference
Banana Plant Counting and Morphological Parameters Measurement Based on Terrestrial Laser Scanning
10.1186/s13007-022-00894-y · ExternalCitation · doi-reference
High-Throughput Field Crop Phenotyping: Current Status and Challenges
10.1270/jsbbs.21069 · ExternalCitation · doi-reference
10.13031/aim.202100428
10.13031/aim.202100428 · ExternalCitation · doi-reference
10.3389/fpls.2018.00866
10.3389/fpls.2018.00866 · ExternalCitation · doi-reference
10.3389/fpls.2019.00554
10.3389/fpls.2019.00554 · ExternalCitation · doi-reference
10.3390/agriculture12091450
10.3390/agriculture12091450 · ExternalCitation · doi-reference
10.3390/agriculture15242573
10.3390/agriculture15242573 · ExternalCitation · doi-reference
10.3390/agronomy12040958
10.3390/agronomy12040958 · ExternalCitation · doi-reference
10.3390/agronomy14051069
10.3390/agronomy14051069 · ExternalCitation · doi-reference
10.3390/agronomy15030740
10.3390/agronomy15030740 · ExternalCitation · doi-reference
10.3390/drones7020108
10.3390/drones7020108 · ExternalCitation · doi-reference
10.3390/rs15040964
10.3390/rs15040964 · ExternalCitation · doi-reference
10.3390/rs16173290
10.3390/rs16173290 · ExternalCitation · doi-reference
10.3390/s18041187
10.3390/s18041187 · ExternalCitation · doi-reference
10.3390/s19051201
10.3390/s19051201 · ExternalCitation · doi-reference
10.3390/s25092854
10.3390/s25092854 · ExternalCitation · doi-reference
