Name
Title | ||
|---|---|---|
Monitoring maize growth on the North China Plain using a hybrid genetic algorithm-based back-propagation neural network model |
Abstract | ||
|---|---|---|
•Hybrid GA-BPNN model provides reliable and continuous estimates of maize growth and yield.•GA is a useful optimizing technique for improving the performance of the BP neural network.•GLASS LAI has a high spatio-temporal continuity for reflecting the variation patterns of maize growth.•VTCI is an effective approach for drought monitoring and highly related to maize growth conditions. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compag.2020.105238 | Computers and Electronics in Agriculture |
Keywords | DocType | Volume |
Maize growth monitoring,Yield estimation,Remote sensing,Genetic algorithm,Back propagation neural network | Journal | 170 |
ISSN | Citations | PageRank |
0168-1699 | 1 | 0.37 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Wang | 1 | 65 | 54.21 |
| Peng Xin Wang | 2 | 14 | 6.53 |
| Shunlin Liang | 3 | 611 | 116.22 |
| Yongchao Zhu | 4 | 1 | 0.37 |
| Jahangir Khan | 5 | 1 | 0.37 |
| Shibo Fang | 6 | 1 | 0.37 |