Recognition Method of Tomato Leaf Diseases Based on Deep Residual Network
Intelligent recognition of greenhouse vegetable diseases plays an important role in the efficient production and management. The color, texture and shape of some diseases in greenhouse vegetables are often very similar, it is necessary to find a method to judge vegetable diseases. Based on the massi...
Saved in:
Main Author: | WU Huarui |
---|---|
Format: | article |
Language: | EN ZH |
Published: |
Editorial Office of Smart Agriculture
2019
|
Subjects: | |
Online Access: | https://doaj.org/article/750f399f1e9e437ebafd8f1bff9d247a |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improvement of the model of object recognition in aero photographs using deep convolutional neural networks
by: Vadym Slyusar, et al.
Published: (2021) -
A comparison of convolutional neural networks for Kazakh sign language recognition
by: Chingiz Kenshimov, et al.
Published: (2021) -
Specific Emitter Identification of ADS-B Signal Based on Deep Residual Network
by: Weng Lintianran, Peng Jinlin, He Yuan, Zhong Dudu, Peng Jianhua, Mao Xuanyu
Published: (2021) -
Are Microcontrollers Ready for Deep Learning-Based Human Activity Recognition?
by: Atis Elsts, et al.
Published: (2021) -
Crack recognition automation in concrete bridges using Deep Convolutional Neural Networks
by: Zoubir Hajar, et al.
Published: (2021)