Ye Bi 毕晔

Deep Learning ⎟ Computer Vision ⎟ Genetics ⎟ Data Science

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I am a Ph.D. candidate from Dr. Gota Morota’s group in the School of Animal Sciences at Virginia Polytechnic Institute and State University.

My research interests focus on incorporating artificial intelligence, computer vision, statistics, phenomics, and genetics to study animal and plant sciences.

Actively seeking academic postdoc and industry position in precision livestock farming, quantitative genetics, computer vision, and/or data science. Please contact me if you have an opportunity.

Research Topics

        ✓ Precision Livestock Farming 🐷🐽🐄🐖
        ✓ Quantitative Genetics for animals 🐄🐂
        ✓ Quantitative Genetics for plants 🌿🌾

Recent News
(See All)

Jul 25, 2024 [New Preprint] Ye Bi, Harkamal Walia, Toshihiro Obata, and Gota Morota. Genomic prediction of metabolic content in rice grain in response to warmer night conditions. doi:10.1101/2024.07.23.604827.


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Jul 25, 2024 [Oral presentations] Industry-scale prediction of video-derived pig body weight using efficient convolutional neural networks and vision transformers. The impact of trait measurement error on quantitative genetic analysis. 2024 ASAS-CSAS-WSASAS Annual Meeting. Calgary TELUS Convention Centre, Calgary, Alberta, Canada. July 21-25, 2024. ASAS2024
Jun 26, 2024 [Travel Award!] I'm excited to share that I have received the [Agricultural Genome to Phenome Initiative (AG2PI)] Student Conference Travel Award ($1500) from the U.S. Department of Agriculture (USDA), National Institute of Food and Agriculture (NIFA). AG2PI
Jun 19, 2024 [Travel Award!] I'm thrilled to announce that I was awarded the CAIA Graduate Student Travel Award ($1000) from [Center for Advanced Innovation in Agriculture (CAIA)] , Virginia Tech. CAIA

Selected Publications
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Check out Google Scholar for a full list of my publications.

  1. Paper
    Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms
    Ye Bi, Leticia M. Campos, Jin Wang, Haipeng Yu, Mark D. Hanigan, and Gota Morota
    Smart Agricultural Technology 2023
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  2. Paper
    Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice
    Ye Bi, Rafael Massahiro Yassue, Puneet Paul, Balpreet Kaur Dhatt, Jaspreet Sandhu, Thi Phuc Do, Harkamal Walia, Toshihiro Obata, and Gota Morota
    G3: Genes, Genomes, Genetics 2023
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