Zhihang Song
Assistant Professor; Emphasis: Plant Phenomics, Controlled Environment Agriculture
Areas of expertise
About
Dr. Zhihang Song is an Assistant Professor of Controller Environment Agriculture (CEA) Phenomics in the Department of Horticulture with a focus on advancing digital agriculture to enhance food security and sustainability. His work integrates technologies such as imagery sensors, machine learning, computer vision, and robotics to tackle critical challenges in CEA crop production. Dr. Song is also passionate about mentoring the next generation of scientists and engineers, having been recognized with the Estus H. and Vashti L. Magoon Award for Excellence in Teaching.
Education
Doctor of Philosophy, Agricultural Engineering.
Purdue University, IN, United States (2024)
Master of Science, Agricultural Engineering.
Purdue University, IN, United States (2020)
Bachelor of Science, Agricultural Engineering.
Purdue University, IN, United States (2017)
Courses
- HORT 8160: Measurement and Control in Plant and Soil Science (Fall 2025)
- HORT 7000: Master's Research (Fall 2025)
- HORT 7000: Master's Research (Spring 2026)
- HORT 9000: Doctoral Research (Spring 2026)
Scholarly Works
- SegRoot: A high throughput segmentation method for root image analysis, COMPUTERS AND ELECTRONICS IN AGRICULTURE, (2019).
- LeafSpec: An accurate and portable hyperspectral corn leaf imager, COMPUTERS AND ELECTRONICS IN AGRICULTURE, (2020).
- Automated in-field leaf-level hyperspectral imaging of corn plants using a Cartesian robotic platform, COMPUTERS AND ELECTRONICS IN AGRICULTURE, (2021).
- High-energy and durable aqueous Zn batteries enabled by multi-electron transfer reactions, ENERGY MATERIALS, (2024).
- Leaf Scanner: A portable and low-cost multispectral corn leaf scanning device for precise phenotyping, COMPUTERS AND ELECTRONICS IN AGRICULTURE, (2019).
Contact
Mailing Address
1111 Plant Sciences Building
Athens, GA 30602
Shipping Address
1111 Plant Sciences Building
Athens, GA 30602