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Wanneng Yang

Showing results (21-30 of 86) with videos related to

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Plant Phenomics (Washington, D.C.)|June 22, 2026
PhenoRob-P: An autonomous robotic system for high-throughput phenotyping of potted plantsYang Shao, Yan He, Yakun Fang, et al.
Plant Phenomics (Washington, D.C.)|March 29, 2024
Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine LearningHui Feng, Yongqi Chen, Jingyan Song, et al.
Frontiers in Plant Science|December 23, 2022
A non-destructive coconut fruit and seed traits extraction method based on Micro-CT and deeplabV3+ modelLejun Yu, Lingbo Liu, Wanneng Yang, et al.
The Review of Scientific Instruments|October 5, 2013
A hyperspectral imaging system for an accurate prediction of the above-ground biomass of individual rice plantsHui Feng, Ni Jiang, Chenglong Huang, et al.
Frontiers in Plant Science|September 19, 2022
An automatic fluorescence phenotyping platform to evaluate dynamic infection process of <i>Tobacco mosaic virus</i>-green fluorescent protein in tobacco leavesJunli Ye, Jingyan Song, Yuan Gao, et al.
Plant Phenomics (Washington, D.C.)|December 19, 2025
PhenoRob-F: An autonomous ground-based robot for high-throughput phenotyping of field cropsMeng Yang, Zhengda Li, Jiale Cui, et al.
Molecular Breeding : New Strategies in Plant Improvement|June 13, 2023
A high-throughput and low-cost maize ear traits scorerXiuying Liang, Junli Ye, Xiaoyu Li, et al.
Plant Phenomics (Washington, D.C.)|December 14, 2020
Nondestructive 3D Image Analysis Pipeline to Extract Rice Grain Traits Using X-Ray Computed TomographyWeijuan Hu, Can Zhang, Yuqiang Jiang, et al.
Frontiers in Plant Science|August 29, 2022
Field rice panicle detection and counting based on deep learningXinyi Wang, Wanneng Yang, Qiucheng Lv, et al.
Frontiers in Plant Science|May 2, 2022
An Intelligent Analysis Method for 3D Wheat Grain and Ventral Sulcus Traits Based on Structured Light ImagingChenglong Huang, Zhijie Qin, Xiangdong Hua, et al.
Pageof 9

Showing results (21-30 of 86) with videos related to

Sort By:
Pageof 9
Plant Phenomics (Washington, D.C.)|June 22, 2026
PhenoRob-P: An autonomous robotic system for high-throughput phenotyping of potted plantsYang Shao, Yan He, Yakun Fang, et al.
Plant Phenomics (Washington, D.C.)|March 29, 2024
Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine LearningHui Feng, Yongqi Chen, Jingyan Song, et al.
Frontiers in Plant Science|December 23, 2022
A non-destructive coconut fruit and seed traits extraction method based on Micro-CT and deeplabV3+ modelLejun Yu, Lingbo Liu, Wanneng Yang, et al.
The Review of Scientific Instruments|October 5, 2013
A hyperspectral imaging system for an accurate prediction of the above-ground biomass of individual rice plantsHui Feng, Ni Jiang, Chenglong Huang, et al.
Frontiers in Plant Science|September 19, 2022
An automatic fluorescence phenotyping platform to evaluate dynamic infection process of <i>Tobacco mosaic virus</i>-green fluorescent protein in tobacco leavesJunli Ye, Jingyan Song, Yuan Gao, et al.
Plant Phenomics (Washington, D.C.)|December 19, 2025
PhenoRob-F: An autonomous ground-based robot for high-throughput phenotyping of field cropsMeng Yang, Zhengda Li, Jiale Cui, et al.
Molecular Breeding : New Strategies in Plant Improvement|June 13, 2023
A high-throughput and low-cost maize ear traits scorerXiuying Liang, Junli Ye, Xiaoyu Li, et al.
Plant Phenomics (Washington, D.C.)|December 14, 2020
Nondestructive 3D Image Analysis Pipeline to Extract Rice Grain Traits Using X-Ray Computed TomographyWeijuan Hu, Can Zhang, Yuqiang Jiang, et al.
Frontiers in Plant Science|August 29, 2022
Field rice panicle detection and counting based on deep learningXinyi Wang, Wanneng Yang, Qiucheng Lv, et al.
Frontiers in Plant Science|May 2, 2022
An Intelligent Analysis Method for 3D Wheat Grain and Ventral Sulcus Traits Based on Structured Light ImagingChenglong Huang, Zhijie Qin, Xiangdong Hua, et al.
Pageof 9