Name
Abstract | ||
|---|---|---|
•LeafNet is a plant identification system based on convolutional neural networks.•We used images of leaves to train and evaluate LeafNet on three datasets.•We achieved a better performance compared to hand-crafted customized systems. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.ecoinf.2017.05.005 | Ecological Informatics |
Keywords | Field | DocType |
Plant classification,Feature representation,Deep learning,Convolutional neural network,Convolutional layers,Feature maps | Data mining,Convolutional neural network,Computer science,A priori and a posteriori,Software system,Artificial intelligence,Deep learning,Classifier (linguistics),Discriminative model,Plant species,Computer vision,Machine learning,Plant identification | Journal |
Volume | ISSN | Citations |
40 | 1574-9541 | 13 |
PageRank | References | Authors |
0.72 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter N. Belhumeur | 1 | 12242 | 1001.27 |
| Ben C. Stöver | 2 | 28 | 2.39 |
| Kai F. Müller | 3 | 31 | 2.93 |
| Volker Steinhage | 4 | 397 | 87.15 |