Comparing bags of features, conventional convolutional neural network and alexnet for fruit recognition
This paper presents a comparative study between Bag of Features (BoF), Conventional Convolutional Neural Network (CNN) and Alexnet for fruit recognition. Automatic fruit recognition can minimize human intervention in their fruit harvesting operations, operation time and harvesting cost. On the other...
| 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 |