Maize Diseases Identification Method Based on Multi-Scale Convolutional Global Pooling Neural Network

Maize Diseases Identification Method Based on Multi-Scale Convolutional Global Pooling Neural Network

Deep learning is thought of as a promising mean to identify maize diseases. However, the drawback of deep learning is the huge sample data and low accuracy. In this paper, we proposed a multi-scale convolutional global pooling neural network to improve the accuracy of maize diseases identification....

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Bibliographic Details
Main Authors: Yanlei Xu, Bin Zhao, Yuting Zhai, Qingyuan Chen, Yang Zhou
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Maize diseases identification
deep convolution neural networks
global pooling layer
inception module
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9351812/

Internet

https://ieeexplore.ieee.org/document/9351812/

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