Publications
32
Citations
523
Est. group size
~6
Recurring co-author estimate
Active years
10
Publishing since 2017
Jinnuo Zhang works at the intersection of chemistry, spectroscopy, and agricultural technology, developing methods to analyze crops and plants using light-based sensing techniques such as hyperspectral, near-infrared, Raman, and terahertz imaging. Much of the work applies machine learning and deep learning to interpret these spectral signals for tasks like detecting plant diseases, evaluating seed quality, and monitoring crop growth, often using drone (UAV) and camera-based imaging systems. Recent work has also extended into tactile and proprioceptive sensing for soft robotics.
Publication output grew steadily from 2017 through a peak in 2022, followed by a modest decline in the last few years, though output remains higher than early in the decade.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Maize nitrogen status assessment during early vegetative stages leveraging temporal variation in leaf spatial-spectral features
SSRN Electronic Journal · 2026
- Intrinsic Vision-Based Learning for Proprioceptive Sensing of Soft Pneumatic Actuators
Lecture notes in computer science · 2025
- SymmeTac: Symmetric Color LED Driven Efficient Photometric Stereo Reconstruction Methods for Camera-based Tactile Sensors
arXiv (Cornell University) · 2024
- Visible and Near-Infrared Hyperspectral Diurnal Variation Calibration for Corn Phenotyping Using Remote Sensing
Remote Sensing · 2023
- Concise Cascade Methods for Transgenic Rice Seed Discrimination using Spectral Phenotyping
Plant Phenomics · 2023
- Dynamic UAV Phenotyping for Rice Disease Resistance Analysis Based on Multisource Data
Plant Phenomics · 2022
- Rice bacterial blight resistant cultivar selection based on visible/near-infrared spectrum and deep learning
Plant Methods · 2022
- Detecting Wheat Heads from UAV Low-Altitude Remote Sensing Images Using Deep Learning Based on Transformer
Remote Sensing · 2022
- Evaluation of rice bacterial blight severity from lab to field with hyperspectral imaging technique
Frontiers in Plant Science · 2022
- Methods and New Research Progress of Remote Sensing Monitoring of Crop Disease and Pest Stress Using Unmanned Aerial Vehicle
DOAJ (DOAJ: Directory of Open Access Journals) · 2022
- Time-Series Monitoring of Transgenic Maize Seedlings Phenotyping Exhibiting Glyphosate Tolerance
Processes · 2022
- Time-series monitoring of transgenic maize seedlings phenotyping exhibiting glyphosate tolerance
bioRxiv (Cold Spring Harbor Laboratory) · 2022
- Principal Component Analysis Based on Different Starting Points
2022
- Structure analysis and non-invasive detection of cadmium-phytochelatin2 complexes in plant by deep learning Raman spectrum
Journal of Hazardous Materials · 2021
- Real-Time and In Situ Evaluation of Phycocyanin Concentration in Spirulina platensis Cultivation System by Using Portable Raman Spectroscopy
Journal of Chemistry · 2021
- Computers and Electronics in Agriculture×3
- SSRN Electronic Journal×3
- Frontiers in Plant Science×2
- Plant Phenomics×2
- Remote Sensing×2
- Luis Rodriguez‐Saona
Chemistry · The Ohio State University
- Didem Peren Aykas
Chemistry · The Ohio State University
- Ziling Chen
Environmental Science · Purdue University West Lafayette
- Yirui Huang
Environmental Science · The Ohio State University
- Jennifer Janovick
Chemistry · 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.
Claim or correct this profile