Title
Deep neural networks with transfer learning in millet crop images.
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 Coulibaly110.36
Bernard Kamsu-Foguem231820.94
Dantouma Kamissoko310.36
Daouda Traore410.36