Name
Abstract | ||
|---|---|---|
•A new wheat rust disease mapping protocol was proposed based on ZY-3 satellite image.•The comparison of filter feature selection and wrapper feature selection with different classifiers on the application of wheat rust disease was conducted.•The wrapper feature selection with the random forests method proved to be more accurate in mapping wheat rust disease. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compag.2018.07.002 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Wheat rust,Multispectral remote sensing,Mapping,Feature selection,Support vector machine | Computer vision,Vegetation,Satellite imagery,Feature selection,Remote sensing,Support vector machine,Filter (signal processing),Hyperspectral imaging,Rust,Artificial intelligence,Engineering,Random forest | Journal |
Volume | ISSN | Citations |
152 | 0168-1699 | 0 |
PageRank | References | Authors |
0.34 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongmei Chen | 1 | 9 | 4.86 |
| yeyin shi | 2 | 12 | 3.42 |
| Wenjiang Huang | 3 | 179 | 51.84 |
| Jingcheng Zhang | 4 | 45 | 10.39 |
| Kaihua Wu | 5 | 3 | 1.42 |