Ziling Chen
Environmental Science · Purdue University West Lafayette
Publications
24
Citations
151
Est. group size
~8
Recurring co-author estimate
Active years
14
Publishing since 2012
Ziling Chen's work centers on using imaging and sensing technology to study plant health, particularly measuring nitrogen levels and leaf structure in crops like corn and soybean using hyperspectral and multispectral cameras combined with machine learning. Related projects extend into robotics for automated leaf imaging and teleoperated robotic arms for remote laboratory education, as well as some work on data mining and engineering education. This combination suggests a research program bridging precision agriculture, robotic sensing systems, and educational technology.
Publication output was minimal or absent before 2023 but increased sharply starting in 2023, suggesting a recent and still-active growth phase in research productivity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A high-precision spatial and spectral imaging solution for accurate corn nitrogen content level prediction at early vegetative growth stages
Computers and Electronics in Agriculture · 2025
- Application of Phone-Based Robotic Arm Teleoperation in Remote Hands-On Labs for Engineering Education
2025
- TeleopLab: Accessible and Intuitive Teleoperation of a Robotic Manipulator for Remote Labs
arXiv (Cornell University) · 2025
- Application of phone-based robotic arm teleoperation in remote hands-on labs for engineering education
Manufacturing Letters · 2025
- Towards Expert Knowledge Capture with Virtual Reality: Exploring Immersive Elicitation of CAD Models for 3D Printing
2025
- Spatial-spectral feature mining in hyperspectral corn leaf venation structure and its application in nitrogen content estimation
Computers and Electronics in Agriculture · 2024
- Robust Leaf Pose Estimation in Natural Environment Using Deep Learning for Precision Agriculture
SSRN Electronic Journal · 2024
- Student Performance Prediction Approach Based on Educational Data Mining
IEEE Access · 2023
- LeafSpec-Dicot: An Accurate and Portable Hyperspectral Imaging Device for Dicot Leaves
Sensors · 2023
- Development of a Target-to-Sensor Mode Multispectral Imaging Device for High-Throughput and High-Precision Touch-Based Leaf-Scale Soybean Phenotyping
Sensors · 2023
- CORE-Sketch: On Exact Computation of Median Absolute Deviation with Limited Space
Proceedings of the VLDB Endowment · 2023
- Study on the Difficulties of Multi-campus University Student in the Practical Activities of Science and Technology
Communications in computer and information science · 2023
- A Novel Spectral-Structural Analysis Method based on Corn Leaf Hyperspectral Images for the Identification of Nitrogen Deficiencies
2023
- Development of a novel robotic system for in-filed corn leaf spectroscopy imaging
2023
- A High-Precision Spatial and Spectral Imaging Solution for Accurate Corn Nitrogen Content Level Prediction at Early Vegetative Growth Stages
SSRN Electronic Journal · 2023
- Computers and Electronics in Agriculture×5
- Sensors×3
- SSRN Electronic Journal×2
- IEEE Access×1
- Artificial Intelligence in Agriculture×1
- Jian Jin
Environmental Science · Purdue University West Lafayette
- Yirui Huang
Environmental Science · The Ohio State University
- Chris Hoagland
Environmental Science · Purdue University West Lafayette
- John J. Couture
Environmental Science · Purdue University West Lafayette
- Sami Khanal
Environmental Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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