Convolutional neural network vs bag of features for bambara groundnut leaf disease recognition
This paper investigates bambara groundnut leaf disease recognition using two popular techniques known as Convolutional Neural Network (CNN) and Bag of Features (BOF) with Speeded-up Robust Feature (SURF) and Support Vector Machine (SVM) classifier. Leaf disease recognition has attracted many researc...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2019
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |