Jing
Supervisor of Master's Candidates
Name (Simplified Chinese):Jing
Name (English):Jing
Name (Pinyin):xiejing
Gender:Female
Administrative Position:专任教师
Professional Title:Associate professor
Status:Employed
Education Level:With Certificate of Graduation for Doctorate Study
Degree:博士
Business Address:工程楼A609
E-Mail:
Alma Mater:华中科技大学
Teacher College:College of Engineering
School/Department:工学院
Discipline:Other specialties in Optical Engineering
Other Contact Information:
Email：
Paper Publications
- Salt stress estimation in pumpkin germplasm based on maximum likelihood statistical modeling of the leaf color space distribution.Computers and Electronics in Agriculture,2025,
- A novel composite vegetation index with solar-induced chlorophyll fluorescence for seedling rapeseed net photosynthesis rate retrieval.Computers and Electronics in Agriculture,2022,198(107031):
- Assessing the Effect of Real Spatial Resolution of In Situ UAV Multispectral Images on Seedling Rapeseed Growth Monitoring.Remote Sensing,2020,
- Evaluation of an UAV-mounted camera with different spectral modifications and two handheld spectral sensors for rapeseed growth monitoring: Performance and influencing factors.Precision Agriculture,2020,
- Rapeseed Stand Count Estimation at Leaf Development Stages With UAV Imagery and Convolutional Neural Networks.Frontiers in Plant Science,2020,
- Segmenting Purple Rapeseed Leaves in the Field from UAV RGB Imagery Using Deep Learning as an Auxiliary Means for Nitrogen Stress Detection.Remote Sensing,2020,
- Comparison between the Effects of Visible Light and Multispectral Sensor Based on Low-Altitude Remote Sensing Platform in the Evaluation of Rice Sheath Blight.Spectroscopy and Spectral Analysis,2019,
- Research on the Chlorophyll Content (SPAD) Distribution Based on the Consumer-Grade Modified Near-Infrared Camera.Spectroscopy and Spectral Analysis,2018,
- Rapeseed Seedling Stand Counting and Seeding Performance Evaluation at Two Early Growth Stages Based on Unmanned Aerial Vehicle Imagery.Frontiers in Plant Science,2018,
- Research on Optimal Near-Infrared Band Selection of Chlorophyll (SPAD) 3D Distribution about Rice Plant.Spectroscopy and Spectral Analysis,2017,
