P
Peng Yang
Researcher at Huazhong Agricultural University
Publications - 5
Citations - 297
Peng Yang is an academic researcher from Huazhong Agricultural University. The author has contributed to research in topics: Genome-wide association study & Image segmentation. The author has an hindex of 3, co-authored 5 publications receiving 158 citations.
Papers
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Journal ArticleDOI
Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization
Xiong Xiong,Lingfeng Duan,Lingbo Liu,Haifu Tu,Peng Yang,Dan Wu,Guoxing Chen,Lizhong Xiong,Wanneng Yang,Qian Liu +9 more
TL;DR: Panicle-SEG was demonstrated to be a robust segmentation algorithm, which can be expanded for different rice accessions, different field environments, different camera angles, different reproductive stages, and indoor rice images, and it creates a new opportunity for nondestructive yield estimation.
Journal ArticleDOI
Genome-Wide Association Studies of Image Traits Reveal Genetic Architecture of Drought Resistance in Rice
Zilong Guo,Wanneng Yang,Yu Chang,Xiaosong Ma,Haifu Tu,Fang Xiong,Ni Jiang,Hui Feng,Chenglong Huang,Peng Yang,Hu Zhao,Guoxing Chen,Hongyan Liu,Lijun Luo,Honghong Hu,Qian Liu,Lizhong Xiong +16 more
TL;DR: This study provides a promising novel approach for the genetic dissection and discovery of causal genes for DR and illustrated the power of this integrated approach to identify previously unreported DR-related genes.
Journal ArticleDOI
Novel Digital Features Discriminate Between Drought Resistant and Drought Sensitive Rice Under Controlled and Field Conditions.
Lingfeng Duan,Jiwan Han,Zilong Guo,Haifu Tu,Peng Yang,Zhang Dong,Yuan Fan,Guoxing Chen,Lizhong Xiong,Mingqiu Dai,Kevin Williams,Fiona Corke,John H. Doonan,Wanneng Yang +13 more
TL;DR: This image-based technology is robust providing a platform-independent tool for quantifying drought response that should be of general utility for breeding and functional genomics in future.
Journal ArticleDOI
A deep learning-integrated micro-CT image analysis pipeline for quantifying rice lodging resistance-related traits.
Di Wu,Dan Wu,Hui Feng,Lingfeng Duan,Guoxing Dai,Xiao Liu,Wang Kang,Peng Yang,Guoxing Chen,John H. Doonan,Zhiyou Niu,Lizhong Xiong,Wanneng Yang +12 more
TL;DR: In this article, the authors used a high-throughput micro-CT-RGB imaging system and deep learning (SegNet) to extract 24 rice culm morphological traits and lodging resistance-related traits.
Patent
Automatic fast locating device and method applied to parameter detection of rice plants of plots of field
Yang Wanneng,Ye Junli,Feng Hui,Peng Yang,Haifu Tu,Chenglong Huang,Duan Lingfeng,Guoxing Chen,Lizhong Xiong +8 more
TL;DR: In this article, an automatic fast locating device and method applied to parameter detection of rice plants of plots of a field was proposed, which included a filed plot coordinate (X, Y) locating system composed of a first trolley and a second trolley.