Experimental analysis and evaluation of wide residual networks based agricultural disease identification in smart agriculture system

Experimental analysis and evaluation of wide residual networks based agricultural disease identification in smart agriculture system

Abstract Specialised pest and disease control in the agricultural crops industry have been a high-priority issue. Due to great cost-effectiveness and efficient automation, computer vision (CV)–based automatic pest or disease identification techniques are widely utilised in the smart agricultural sys...

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Bibliographic Details
Main Authors: Haoxu Yang, Lutao Gao, Niansheng Tang, Po Yang
Format: Article
Language:English
Published: SpringerOpen 2019-12-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Disease identification
Convolutional neural network
Wide residual networks
Position-Sensitive Score Map
Online Access:https://doi.org/10.1186/s13638-019-1613-z

Internet

https://doi.org/10.1186/s13638-019-1613-z

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