Using a one-dimensional convolutional neural network with a conditional generative adversarial network to classify plant electrical signals-Reference-Cited by-同舟云学术

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Using a one-dimensional convolutional neural network with a conditional generative adversarial network to classify plant electrical signals

Published:2020-07 Issue: Volume:174 Page:105464
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Qin Xiao-Huang,Wang Zi-Yang,Yao Jie-Peng,Zhou Qiao,Zhao Peng-Fei,Wang Zhong-Yi,Huang Lan

Funder

China Agricultural University

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference56 articles.

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2. Long-distance systemic signaling and communication in plants;Baluška,2013

3. Pearson correlation coefficient;Benesty,2009

4. The oscillatory bioelectrical signal from plants explained by a simulated electrical model and tested using Lempel-Ziv complexity;Cabral;Comput. Electron. Agric.,2011

5. Exploring strategies for classification of external stimuli using statistical features of the plant electrical response;Chatterjee;J. R. Soc. Interface,2015

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