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Ye Han
Ye Han
Data scientist, Syngenta
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Deepcorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation
S Khaki, H Pham, Y Han, A Kuhl, W Kent, L Wang
Knowledge-Based Systems 218, 106874, 2021
742021
Convolutional neural networks for image-based corn kernel detection and counting
S Khaki, H Pham, Y Han, A Kuhl, W Kent, L Wang
Sensors 20 (9), 2721, 2020
652020
The predicted cross value for genetic introgression of multiple alleles
Y Han, JN Cameron, L Wang, WD Beavis
Genetics 205 (4), 1409-1423, 2017
602017
An applied deep learning approach for estimating soybean relative maturity from UAV imagery to aid plant breeding decisions
S Moeinizade, H Pham, Y Han, A Dobbels, G Hu
Machine Learning with Applications 7, 100233, 2022
392022
Systematic design for trait introgression projects
JN Cameron, Y Han, L Wang, WD Beavis
Theoretical and applied genetics 130, 1993-2004, 2017
252017
High-throughput image-based plant stand count estimation using convolutional neural networks
S Khaki, H Pham, Z Khalilzadeh, A Masoud, N Safaei, Y Han, W Kent, ...
Plos one 17 (7), e0268762, 2022
182022
A look-ahead Monte Carlo simulation method for improving parental selection in trait introgression
S Moeinizade, Y Han, H Pham, G Hu, L Wang
Scientific reports 11 (1), 3918, 2021
162021
Dynamic Programming for Resource Allocation in Multi-allelic Trait Introgression
Y Han, JN Cameron, L Wang, H Pham, WD Beavis
Frontiers in Plant Science 12, 1181, 2021
52021
Operations research applications in multi-allelic trait introgression in plant breeding
Y Han
Iowa State University, 2017
2*2017
Not yet submitted for publication John Cameron, Ye Han, Lizhi Wang, Bill Beavis Contributions JC programmed the simulations and wrote the initial drafts YH provided support …
J Cameron, Y Han
The optimization of introgression projects for plant genetic improvement …, 2017
2017
Not yet submitted for publication Contributions JC defined the challenge, programmed the simulations and wrote initial drafts YH provided support with efficient coding methods
J Cameron, Y Han, L Wang, B Beavis
The optimization of introgression projects for plant genetic improvement …, 2017
2017
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