CNN–SVM: a classification method for fruit fly image with the complex background

CNN–SVM: a classification method for fruit fly image with the complex background

On the basis of the problem that the image background is simple and the traditional shooting equipment of fruit flies is too high, this study improved the convolutional neural network model. First, the authors changed Softmax classifier to support vector machine (SVM). Moreover, then used convolutio...

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Bibliographic Details
Main Authors: Yingqiong Peng, Muxin Liao, Hong Deng, Ling Ao, Yuxia Song, Weiji Huang, Jing Hua
Format: Article
Language:English
Published: Wiley 2020-02-01
Series:IET Cyber-Physical Systems
Subjects:
feature extraction
pest control
learning (artificial intelligence)
agricultural products
support vector machines
image classification
convolutional neural nets
bactrocera tau
bactrocera scutellata
complex background fruit
cnn–svm
classification method
fruit fly image
image background
traditional shooting equipment
fruit flies
convolutional neural network model
softmax classifier
convolution layers
bactrocera dorsalis hendel
bactrocera cucurbitae
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2019.0069

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https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2019.0069

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