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Wanneng Yang

Showing results (51-60 of 87) with videos related to

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Plant Biotechnology Journal|October 30, 2021
StomataScorer: a portable and high-throughput leaf stomata trait scorer combined with deep learning and an improved CV modelXiuying Liang, Xichen Xu, Zhiwei Wang, et al.
Frontiers in Plant Science|December 2, 2022
Machine learning assisted dynamic phenotypes and genomic variants help understand the ecotype divergence in rapeseedHui Feng, Chaocheng Guo, Zongyi Li, et al.
International Journal of Molecular Sciences|November 11, 2022
PollenDetect: An Open-Source Pollen Viability Status Recognition System Based on Deep Learning Neural NetworksZhihao Tan, Jing Yang, Qingyuan Li, et al.
The New Phytologist|June 24, 2021
Combining UAV-RGB high-throughput field phenotyping and genome-wide association study to reveal genetic variation of rice germplasms in dynamic response to drought stressZhao Jiang, Haifu Tu, Baowei Bai, et al.
Scientific Reports|July 2, 2017
An integrated hyperspectral imaging and genome-wide association analysis platform provides spectral and genetic insights into the natural variation in riceHui Feng, Zilong Guo, Wanneng Yang, et al.
Plant Phenomics (Washington, D.C.)|June 12, 2023
A Strategy for the Acquisition and Analysis of Image-Based Phenome in Rice during the Whole Growth PeriodZhixin Tang, Zhuo Chen, Yuan Gao, et al.
Genome Biology|February 10, 2026
Dissecting the genetic architecture of seed-related traits in Brassica napus by integrating multi-omics analysis and VIS-NIR hyperspectral imagingZengdong Tan, Yunhao Liu, Xiaowei Wu, et al.
Plant Biotechnology Journal|May 6, 2020
High-throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseedHaitao Li, Hui Feng, Chaocheng Guo, et al.
Plant Biotechnology Journal|June 20, 2020
Phenomics-based GWAS analysis reveals the genetic architecture for drought resistance in cottonBaoqi Li, Lin Chen, Weinan Sun, et al.
Frontiers in Plant Science|June 27, 2020
Rapeseed Stand Count Estimation at Leaf Development Stages With UAV Imagery and Convolutional Neural NetworksJian Zhang, Biquan Zhao, Chenghai Yang, et al.
Pageof 9

Showing results (51-60 of 87) with videos related to

Sort By:
Pageof 9
Plant Biotechnology Journal|October 30, 2021
StomataScorer: a portable and high-throughput leaf stomata trait scorer combined with deep learning and an improved CV modelXiuying Liang, Xichen Xu, Zhiwei Wang, et al.
Frontiers in Plant Science|December 2, 2022
Machine learning assisted dynamic phenotypes and genomic variants help understand the ecotype divergence in rapeseedHui Feng, Chaocheng Guo, Zongyi Li, et al.
International Journal of Molecular Sciences|November 11, 2022
PollenDetect: An Open-Source Pollen Viability Status Recognition System Based on Deep Learning Neural NetworksZhihao Tan, Jing Yang, Qingyuan Li, et al.
The New Phytologist|June 24, 2021
Combining UAV-RGB high-throughput field phenotyping and genome-wide association study to reveal genetic variation of rice germplasms in dynamic response to drought stressZhao Jiang, Haifu Tu, Baowei Bai, et al.
Scientific Reports|July 2, 2017
An integrated hyperspectral imaging and genome-wide association analysis platform provides spectral and genetic insights into the natural variation in riceHui Feng, Zilong Guo, Wanneng Yang, et al.
Plant Phenomics (Washington, D.C.)|June 12, 2023
A Strategy for the Acquisition and Analysis of Image-Based Phenome in Rice during the Whole Growth PeriodZhixin Tang, Zhuo Chen, Yuan Gao, et al.
Genome Biology|February 10, 2026
Dissecting the genetic architecture of seed-related traits in Brassica napus by integrating multi-omics analysis and VIS-NIR hyperspectral imagingZengdong Tan, Yunhao Liu, Xiaowei Wu, et al.
Plant Biotechnology Journal|May 6, 2020
High-throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseedHaitao Li, Hui Feng, Chaocheng Guo, et al.
Plant Biotechnology Journal|June 20, 2020
Phenomics-based GWAS analysis reveals the genetic architecture for drought resistance in cottonBaoqi Li, Lin Chen, Weinan Sun, et al.
Frontiers in Plant Science|June 27, 2020
Rapeseed Stand Count Estimation at Leaf Development Stages With UAV Imagery and Convolutional Neural NetworksJian Zhang, Biquan Zhao, Chenghai Yang, et al.
Pageof 9