Predicting stomatal conductance of chili peppers using TPE-optimized LightGBM and SHAP feature analysis based on UAVs’ hyperspectral, thermal infrared imagery, and meteorological data
Shihezi University · National University of Water and Environmental Engineering · +1 more institution
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
43
total citations
- FWCI
- 25.74
- Percentile
- 100%
- References
- 42
Citations per year
Authors
8- HZHaiyang Zhang
Shihezi University, National University of Water and Environmental Engineering, China Agricultural University
- WLWenwen Li
National University of Water and Environmental Engineering, China Agricultural University
- GWGuolong Wang
National University of Water and Environmental Engineering, China Agricultural University
- FSFanfan Song
National University of Water and Environmental Engineering, China Agricultural University
- ZWZhaoqi Wen
National University of Water and Environmental Engineering, China Agricultural University
Topics & keywords
Topics
Keywords
- Hyperspectral imaging
- Remote sensing
- Infrared
- Thermal infrared
- Feature (linguistics)
- Environmental science
- Stomatal conductance
- Meteorology
No related works found for this paper.