Ye Bi 毕晔

Deep LearningComputer VisionGeneticsData Science

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I am a Postdoctoral Research Associate from Dr. Juan Pedro Steibel’s group in the Department of Animal Science at Iowa State University.

I earned my Ph.D. under the mentorship of Dr. Gota Morota in the School of Animal Science 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.

Happy Spring! 🌷🌸🌿🌞🐦🌼🌻🐝🦋.
Feel free to reach out 📩

Research Topics

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

Recent News
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Mar 21, 2025 [New Paper Accept] Liao, Mingsi, Gota Morota, Ye Bi, and Rebecca R. Cockrum. "PredictingDairy Calf Body Weight from Depth Images Using Deep Learning (YOLOv8) and Threshold Segmentation with Cross-Validation and Longitudinal Analysis." Animals 15, no. 6 (2025): 868. doi:10.3390/ani15060868


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Jan 10, 2025 [Oral presentation] Excited to join PAG32 in San Diego this week! Honored to present a short talk on our recent research as an Early Career Speaker in the Genomic Selection and Genome-Wide Association Studies session.🥳 I really appreciate this opportunity to share our work and connect with fellow researchers!🎉 pag32
Jan 1, 2025 I’m happy to share that I’m starting a new position as Postdoctoral Research Associate at Iowa State University! 🔥🔥 isu_ans
Nov 20, 2024 [New Paper Accept] Ye Bi, Harkamal Walia, Toshihiro Obata, and Gota Morota. Genomic prediction of metabolic content in rice grain in response to warmer night conditions. Crop Science, 65(1), p.e21435. doi:10.1002/csc2.21435.


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

  1. PredictingDairy Calf Body Weight from Depth Images Using Deep Learning (YOLOv8) and Threshold Segmentation with Cross-Validation and Longitudinal Analysis
    Mingsi Liao, Gota Morota, Ye Bi, and Rebecca R Cockrum
    Animals 2025
  2. Dissertation
    Digital Phenotyping and Genomic Prediction Using Machine and Deep Learning in Animals and Plants
    Ye Bi
    2024
  3. Genomic prediction of metabolic content in rice grain in response to warmer night conditions
    Ye Bi, Harkamal Walia, Toshihiro Obata, and Gota Morota
    Crop Science 2025
  4. 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
  5. 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