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Xu Wang
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Field-based high-throughput phenotyping of plant height in sorghum using different sensing technologies
X Wang, D Singh, S Marla, G Morris, J Poland
Plant Methods 14 (54), 2018
1342018
High-Throughput Phenotyping Enabled Genetic Dissection of Crop Lodging in Wheat
D Singh, X Wang, U Kumar, L Gao, M Noor, M Imtiaz, RP Singh, J Poland
Frontiers in Plant Science 10, 394, 2019
1302019
Development of a field-based high-throughput mobile phenotyping platform
JP Jared Barker III, Naiqian Zhang, Joshua Sharon, Ryan Steeves, Xu Wang ...
Computers and Electronics in Agriculture 122, 74-85, 2016
1272016
Global wheat head detection 2021: An improved dataset for benchmarking wheat head detection methods
E David, M Serouart, D Smith, S Madec, K Velumani, S Liu, X Wang, ...
Plant Phenomics, 2021
842021
High-throughput phenotyping with deep learning gives insight into the genetic architecture of flowering time in wheat
X Wang, H Xuan, B Evers, S Shrestha, R Pless, J Poland
GigaScience 8 (11), 2019
762019
The Aegilops ventricosa 2NvS segment in bread wheat: cytology, genomics and breeding
L Gao, DH Koo, P Juliana, T Rife, D Singh, C Lemes da Silva, T Lux, ...
Theoretical and Applied Genetics 134, 529-542, 2021
542021
Efficient crop model parameter estimation and site characterization using large breeding trial data sets
A Lamsal, SM Welch, JW Jones, KJ Boote, A Asebedo, J Crain, X Wang, ...
Agricultural systems 157, 170-184, 2017
232017
Approaches for geospatial processing of field-based high-throughput plant phenomics data from ground vehicle platforms
X Wang, KR Thorp, JW White, AN French, JA Poland
Transactions of the ASABE 59 (5), 1053-1067, 2016
222016
Improved Accuracy of High-Throughput Phenotyping From Unmanned Aerial Systems by Extracting Traits Directly From Orthorectified Images
X Wang, P Silva, NM Bello, D Singh, B Evers, S Mondal, FP Espinosa, ...
Frontiers in Plant Science 11, 1616, 2020
152020
Evaluation of field-based single plant phenotyping for wheat breeding
J Crain, X Wang, B Evers, J Poland
The Plant Phenome Journal 5 (1), 2022
102022
Genomics and Phenomics Enabled Prebreeding Improved Early-Season Chilling Tolerance in Sorghum
S Marla, T Felderhoff, C Hayes, R Perumal, X Wang, J Poland, PG Morris
G3 Genes|Genomes|Genetics, 2023
42023
Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics
M Togninalli, X Wang, T Kucera, S Shrestha, P Juliana, S Mondal, F Pinto, ...
Bioinformatics, 2023
42023
Breeding program optimization for genomic selection in winter wheat
M Calvert, B Evers, X Wang, A Fritz, J Poland
bioRxiv, 2020.10. 07.330415, 2020
32020
Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat
P Silva, B Evers, A Kieffaber, X Wang, R Brown, L Gao, A Fritz, J Crain, ...
G3 Genes| Genomes| Genetics 12 (7), 2022
22022
Small plot identification from video streams for high-throughput phenotyping of large breeding populations with unmanned aerial systems
X Wang, C Amos, M Lucas, G Williams, J Poland
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and …, 2019
22019
Artificial intelligence/machine learning-assisted near-infrared/optical biosensing for plant phenotyping
X Wang, X Zhou, L Ji, K Shen
Machine Learning and Artificial Intelligence in Chemical and Biological …, 2024
2024
An extended omnigenic model explains genome-phenome relationships for complex traits in global sorghum diversity
Z Hu, X Wang, SR Marla, J Poland, GP Morris
bioRxiv, 2024.04. 29.591686, 2024
2024
Strawberry Canopy Structural Parameters Estimation and Growth Analysis from UAV Multispectral Imagery Using a Geospatial Tool
C Zheng, A Abd-Elrahman, VM Whitaker, C Dalid, X Wang
Available at SSRN 4689301, 2024
2024
Field phenomics reveals genetic variation for transpiration response to vapor pressure deficit in sorghum
R Raymundo, X Wang, T Felderhoff, S Sexton-Bowser, J Poland, ...
bioRxiv, 2023.06. 23.546345, 2023
2023
Supporting data for: Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics
X Wang, S Shrestha, P Juliana, S Mondal, J Poland, FP Espinosa, ...
Dryad, 2023
2023
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