Name
Title | ||
|---|---|---|
Progress of hyperspectral data processing and modelling for cereal crop nitrogen monitoring |
Abstract | ||
|---|---|---|
•A framework for hyperspectral remote sensing of crop N status is presented.•Recommendations on the choice of crop N status indicators are given.•Inconsistency in selected wavebands by different methods is illustrated.•Determination of optimal mother wavelet, scale and wavelength is discussed.•Pros and cons of crop N retrieval methods are summarized and analyzed. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compag.2020.105321 | Computers and Electronics in Agriculture |
Keywords | DocType | Volume |
Hyperspectral remote sensing,Cereal crop N status indicators,N-related hyperspectral feature analysis technique,Machine learning based regression,Radiative transfer model | Journal | 172 |
ISSN | Citations | PageRank |
0168-1699 | 0 | 0.34 |
References | Authors | |
0 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuanyuan Fu | 1 | 0 | 0.34 |
| Gui-Jun Yang | 2 | 148 | 33.61 |
| zhenhai | 3 | 45 | 14.06 |
| Heli Li | 4 | 0 | 0.34 |
| Zhenhong Li | 5 | 165 | 47.51 |
| Xingang Xu | 6 | 31 | 9.89 |
| Xiaoyu Song | 7 | 25 | 9.55 |
| Yunhe Zhang | 8 | 0 | 0.34 |
| Dandan Duan | 9 | 0 | 0.34 |
| Chunjiang Zhao | 10 | 0 | 0.34 |
| liping chen | 11 | 2 | 3.40 |