Name
Title | ||
|---|---|---|
A polarized hyperspectral imaging system for detection: Multiple applications in sunflower leaf analysis. |
Abstract | ||
|---|---|---|
•A polarized-HSI system (400–1000 nm) was developed for agricultural application.•Superficial information contributes more in discriminating sunflower varieties.•Both surface and subsurface features are equally important in classification.•R⊥ is most important in detecting diseases (PM and/or SLS) on sunflower leaves.•Best classification model for disease detection had CCR of 0.963 for prediction. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.compag.2019.02.008 | Computers and Electronics in Agriculture |
Keywords | DocType | Volume |
Hyperspectral imaging,Polarized light spectroscopy,Visible and near infrared,Sunflower leaf,PLSR | Journal | 158 |
ISSN | Citations | PageRank |
0168-1699 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun-Li Xu | 1 | 0 | 0.34 |
| Alexia Gobrecht | 2 | 0 | 1.01 |
| Daphné Héran | 3 | 0 | 0.34 |
| Nathalie Gorretta | 4 | 18 | 3.84 |
| Marie Coque | 5 | 0 | 0.34 |
| Gowen, A.A. | 6 | 0 | 0.68 |
| Ryad Bendoula | 7 | 0 | 1.01 |
| Da-Wen Sun | 8 | 21 | 6.32 |