Changying Li
Assistant Professor
Areas of expertise
Food SciencesAgriculture, Land and Farm ManagementCrop and Pasture ProductionHorticultural ProductionEnvironmental Science and ManagementElectrical and Electronic Engineering
About
My major research interests are in phenomics and plant robotics.
Education
Doctor of Philosophy, Agricultural Engineering.
Pennsylvania State UniversityThe, PA, United States (2006)
Awards and Honors
- Student Career Success Influencer Award 2022 (2023)
- Distinguished Faculty Scholar (2020)
- ASABE Information Technology Sensors and Controls (ITSC) Division Best Paper Award (2020)
- ASABE Annual Superior Paper Award (2018)
- College of Engineering Annual Award for Excellence in Research (2018)
- Changjiang Lecture Professorship (2018)
- ASABE Information Technology, Sensors and Controls (ITSC) Division Best Paper Award (2018)
- Rain Bird Engineering Concept of the Year Award (2017)
- ASABE New Holland Young Researcher Award (2016)
- Gary A. Herzog Award of Excellence for Junior Research Scientist (2011)
- Early Career Award (2011)
- UGA OVRP Research Fellow (2009)
- Graduate Student Paper Competition Award – Third Place (2006)
- Graduate Leadership Award (2006)
- Gamma Sigma Delta Graduate Research Exhibition Award – Third Place (2006)
- CAS Graduate Student Competitive Grant Proposal Award (2005)
- Science and Technology Advancement Award – Second Place (2004)
- Graduate Thesis Award – First Place (2002)
- Beijing College Leadership Fellowship (1999)
Scholarly Works
- Robot-assisted Neural Radiance fields for plot-level cotton crop 3D reconstruction and yield estimation, COMPUTERS AND ELECTRONICS IN AGRICULTURE, (2026).
- A review of visual navigation for agricultural robots in open fields and controlled environments, COMPUTERS AND ELECTRONICS IN AGRICULTURE, (2026).
- JassidNet as a quantization-aware lightweight phenotyping framework for high-throughput cotton jassid (Amrasca biguttula) detection and counting toward objective resistance screening, INDUSTRIAL CROPS AND PRODUCTS, (2026).
- Contrastive multi-view representation learning for multi-camera plant phenotyping: A cotton field study, PLANT PHENOMICS, (2026).
- Explainable Deep Learning and Edge Inference for Chilli Thrips Severity Classification in Strawberry Canopies, AGRICULTURE-BASEL, (2026).
Contact
Mailing Address
712F Boyd Graduate Studies Building
200 D.W. Brooks Drive
Athens, GA 30602
Shipping Address
712F Boyd Graduate Studies Building
200 D.W. Brooks Drive
Athens, GA 30602
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