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1.
Dissecting the phenotypic components and genetic architecture of maize stem vascular bundles using high-throughput phenotypic analysis.
Plant Biotechnol J
; 19(1): 35-50, 2021 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-32569428
2.
Design and Development of a Low-Cost UGV 3D Phenotyping Platform with Integrated LiDAR and Electric Slide Rail.
Plants (Basel)
; 12(3)2023 Jan 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-36771568
3.
Application of Internet of Things to Agriculture-The LQ-FieldPheno Platform: A High-Throughput Platform for Obtaining Crop Phenotypes in Field.
Research (Wash D C)
; 6: 0059, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-36951796
4.
A reinterpretation of the gap fraction of tree crowns from the perspectives of computer graphics and porous media theory.
Front Plant Sci
; 14: 1109443, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-36814756
5.
Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform.
Plant Phenomics
; 5: 0043, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37223316
6.
Hyperspectral Technique Combined With Deep Learning Algorithm for Prediction of Phenotyping Traits in Lettuce.
Front Plant Sci
; 13: 927832, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35845657
7.
Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics.
Plant Phenomics
; 2022: 9856739, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35935676
8.
MVS-Pheno: A Portable and Low-Cost Phenotyping Platform for Maize Shoots Using Multiview Stereo 3D Reconstruction.
Plant Phenomics
; 2020: 1848437, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-33313542
9.
Image-Based High-Throughput Detection and Phenotype Evaluation Method for Multiple Lettuce Varieties.
Front Plant Sci
; 11: 563386, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-33123178
10.
Crop Phenomics: Current Status and Perspectives.
Front Plant Sci
; 10: 714, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-31214228
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