Abstract | ||
---|---|---|
•Classification is a considerable challenge with a limited number of available data.•Deep learning can transfer knowledge learnt previously in novel tasks/ new domains.•Methodology using a pre-trained model with a feature extraction for classification.•Transfer learning in convolutional neural networks in plant disease identification.•A decision support tool to help farmers for controlling/ preventing plant diseases. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.compind.2019.02.003 | Computers in Industry |
Keywords | Field | DocType |
Convolutional neural network,Feature extraction,Classification,Precision agriculture,Mildew disease | Systems engineering,Convolutional neural network,Transfer of learning,Feature extraction,Precision agriculture,Artificial intelligence,Deep learning,Engineering,Labeled data,Recall,Machine learning,Deep neural networks | Journal |
Volume | ISSN | Citations |
108 | 0166-3615 | 1 |
PageRank | References | Authors |
0.36 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Solemane Coulibaly | 1 | 1 | 0.36 |
Bernard Kamsu-Foguem | 2 | 318 | 20.94 |
Dantouma Kamissoko | 3 | 1 | 0.36 |
Daouda Traore | 4 | 1 | 0.36 |