Name
Title | ||
|---|---|---|
Combining multispectral and hyperspectral data to estimate nitrogen status of tea plants (Camellia sinensis (L.) O. Kuntze) under field conditions |
Abstract | ||
|---|---|---|
•Vegetation indices show a strong correlation with nitrogen status in tea plants.•The combination of multispectral data and hyperspectral data is effective in monitoring nitrogen level.•Fusing data of image information and spectral information has remarkable ability to predict nitrogen content in tea plants. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.compag.2022.107084 | Computers and Electronics in Agriculture |
Keywords | DocType | Volume |
Multispectral imaging,Hyperspectral,Nitrogen,VCPA | Journal | 198 |
ISSN | Citations | PageRank |
0168-1699 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiong Cao | 1 | 0 | 0.34 |
| Guijun Yang | 2 | 3 | 11.33 |
| Dandan Duan | 3 | 0 | 0.34 |
| Longyue Chen | 4 | 0 | 0.34 |
| Fan Wang | 5 | 0 | 0.34 |
| Bo Xu | 6 | 10 | 12.49 |
| J.-C. Zhao | 7 | 135 | 52.42 |
| Fanfan Niu | 8 | 0 | 0.34 |