Yuzhen Lu

Yuzhen Lu

Assistant Professor

Mississippi State University

I am an Assistant Professor in the Department of Agricultural and Biological Engineering at Mississippi State University. My research resolves around the development and deployment of non-destructive sensing (e.g., optical imaging and spectroscopy) and automation technology for addressing the pressing problems in the agricultural and food domain. After earning my doctorate, I worked for over 1 year for USDA-ARS at East Lansing, Michigan, on optical imaging for qualty evaluation of horticultural products, and apple harvest-assist and in-field sorting technology development, and later spent another year in the Department of Biological and Agricultural Engineering at North Carolina State University on several projects on imaging-based high-throughput plant phenotyping and precision agriculture.

Interests

  • Optical Sensing
  • Machine Vision
  • Food Inspection
  • Precision Agriculture
  • Plant Phenotyping
  • AI & Robotics

Education

  • PhD in Biosystems Engineering, 2018

    Michigan State University

  • MS in Plant Nutrition, 2014

    University of Chinese Academy of Sciences

  • BS in Facility Agriculture Science and Engineering, 2011

    Northwest A&F University

Team

Principal Investigator

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Yuzhen Lu

Assistant Professor

Recent Publications

(2021). A New Method for Robust Plant Segmentation Based on Contrast Enhancement and Automatic Thresholding. Transactions of the ASABE (in preparation).

(2021). Design and Preliminary Evaluation of A New Apple Harvest-Assist and In-field Sorting Machine. Transactions of the ASABE (in preparation).

(2021). Development and evaluation of an apple infield grading and sorting system. Postharvet Biology and Technology (under review).

(2021). Hyperspectral Imaging-Enabled High-Throughput Screening of Loblolly Pine (Pinus taeda L.) Seedlings for Freeze Tolerance. Biosystems Engineering (under review).

(2021). Prediction of Freeze Damage and Minimum Winter Temperature of the Seed Source of Loblolly Pine Seedlings Using Hyperspectral Imaging. Forest Science (in press).

DOI

(2020). Technology progress in mechanical harvest of fresh market apples. Computers and Electronics in Agriculture, 175, 105606.

PDF DOI

(2020). A Survey of Public Datasets for Computer Vision Tasks in Precision Agriculture. Computers and Electronics in Agriculture 178, 105760.

PDF DOI

(2020). Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress. Postharvest Biology and Technology, 170, 111318.

PDF DOI

Teaching

2021 Spring: ABE 4423 Bioinstrum II (co-instructed)

2021 Fall: Problem Solving in Agricultural and Biological Engineering (to be developed)

Openings

I am looking for a MS-level (Ph.D. possible) graduate student to start in Spring or Summer 2021 in the Department of Agricultural and Biological Engineering at Mississippi State University. The student will be expected to conduct original research within the fields of sensing and automation for agriculture-food systems. Potential research topics include but are not limited to sensing and assessment of food quality and safety, imaging-based plant phenotpyping, and artificial intelligence and IoT for precision plant/animal production. Students with engineering backgrounds (e.g., agricultural/food engineering, electrical engineering, computer science, etc.) and strong experience in computer vision and machine learning are highly welcome to apply. Please email me (yzlu@abe.msstate.edu, luyuzhen@msu.edu) with your CV if you are interested.

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