Name
Title | ||
|---|---|---|
A deep learning framework under attention mechanism for wheat yield estimation using remotely sensed indices in the Guanzhong Plain, PR China |
Abstract | ||
|---|---|---|
•Attention mechanism with LSTM (ALSTM) has been applied to improve wheat yield estimation.•ALSTM model produced more accurate crop yield estimates compared with LSTM model.•Attention mechanism facilitatesd interpretability of the LSTM network’s inner working.•ALSTM model provided stable performance at different sampling sites and years. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.jag.2021.102375 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | DocType | Volume |
Vegetation Temperature Condition Index (VTCI),Leaf Area Index (LAI),Long short-term memory with an attention mechanism (ALSTM),Yield estimation,Winter wheat | Journal | 102 |
ISSN | Citations | PageRank |
1569-8432 | 1 | 0.41 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huiren Tian | 1 | 1 | 0.41 |
| Peng Xin Wang | 2 | 14 | 6.53 |
| Kevin Tansey | 3 | 1 | 0.41 |
| Dong Han | 4 | 1 | 0.41 |
| Jingqi Zhang | 5 | 1 | 0.41 |
| Shuyu Zhang | 6 | 1 | 0.75 |
| Hongmei Li | 7 | 1 | 0.41 |