Name
Title | ||
|---|---|---|
Monitoring maize growth conditions by training a BP neural network with remotely sensed vegetation temperature condition index and leaf area index |
Abstract | ||
|---|---|---|
•VTCI is a near real-time indicator for drought monitoring and highly related to crop growth conditions.•BP ANN model as useful tool to integrate maize growing information of indicators at different stages.•VTCI and LAI values as input variables improves BP ANNs’ simulating accuracy.•The developed IMGMI is very reliable for estimating the regional maize growth conditions. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.compag.2019.03.017 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Maize growth,Integrated monitoring,Back propagation,Artificial neural network,Vegetation temperature condition index,Leaf area index | Computer vision,Leaf area index,Soil science,Vegetation,Crop,Humidity,Sowing,Artificial intelligence,Condition index,Engineering,Backpropagation,Seeding | Journal |
Volume | ISSN | Citations |
160 | 0168-1699 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Wang | 1 | 401 | 111.60 |
| Peng Xin Wang | 2 | 14 | 6.53 |
| Shunlin Liang | 3 | 611 | 116.22 |
| Xuan Qi | 4 | 0 | 0.34 |
| Li Li | 5 | 6 | 2.22 |
| Lianxiang Xu | 6 | 0 | 0.34 |