Yulei Zhu: Plant Physiology First Author

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Yulei Zhu, first author of “Large-scale field phenotyping using backpack LiDAR and CropQuant-3D to measure structural variation in wheat”

Current position: Research associate (The Zhou Laboratory, Nanjing Agricultural University)

Education: Research master (Master of Engineering)

Non-scientific interests: anime, movies, running

Brief bio:

I did my undergraduate studies as an Agricultural Mechanization and Automation major at Nanjing Agricultural University (NAU), where I completed an BEng (Bachelor of Engineering) in 2018. After that, I joined the Zhou laboratory at the Plant Phenomics Research Center NAU, where I began my research in plant phenomics under the supervision of Professor Ji Zhou. I have accomplished a series of research activities using the backpack LiDAR at the Zhou Lab, including large-scale field phenotyping in wheat, 3D point-cloud based trait analysis and open-source software implementation. During my master study, I have combined 3D image processing, remote sensing and LiDAR mapping to analyze structural characteristics of wheat in order to establish the connections between crop growth and development different field environments, a key research area for the Zhou Lab. To achieve high-throughput and large-scale phenotypic analysis of crop individuals or populations so that field phenotyping could be used in crop genetics and breeding, cultivation management and agricultural production effectively, I am also interested in developing my understanding in artificial intelligence (AI) algorithms and AI-based applications for crop improvement.

 

姓名：朱宇磊

职位：南京农业大学，周济实验室，实验室成员、科研助理

学历：学术硕士

兴趣：动漫、电影、跑步

简历：

本人本科时就读于南京农业大学工学院农业机械化及自动化专业。2018年获得工学学士后，加入南京农业大学作物表型组学交叉研究中心的周济实验室开启研究生涯。本人和周老师中英实验室成员一起开展了一系列利用背包式激光雷达的大规模田间表型采集和分析的研究工作，包括基于三维点云对采集的大规模稻麦群体结构表型进行自动化性状分析、开源分析软件的设计和开发以及这些技术在稻麦育种上的应用。在硕士研究期间，本人主要专注于如何结合三维图像处理、遥感和激光雷达测绘来分析小麦群体的结构特征，以此在田间环境下对小麦的氮素响应表型组进行高通量分析。在周济教授的悉心指导下，本人的研究还逐渐朝结合人工智能、计算机视觉和分子育种的方向发展，通过智能化技术解决作物研究中的实际问题。我和其他实验室成员一起通过改良作物预测模型、田间高通量拍摄技术和开源软件开发等，构建了对农作物个体或群体产量和品质性状分析的多尺度表型分析平台，为农作物遗传育种、栽培管理和农业生产提供大数据支撑。