Wood species automatic identification from wood core images with a residual convolutional neural network-Reference-Cited by-同舟云学术

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Wood species automatic identification from wood core images with a residual convolutional neural network

Published:2021-02 Issue: Volume:181 Page:105941
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Fabijańska Anna,Danek Małgorzata,Barniak Joanna

Funder

Akademia Górniczo-Hutnicza im. Stanislawa Staszica

Publisher

Elsevier BV

Subject

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

Reference32 articles.

1. Wood species recognition through multidimensional texture analysis;Barmpoutis;Comput. Electron. Agric.,2018

2. The oak chronology (948–1314 AD) for the Zary area (Sw Poland);Danek;Geochronometria,2007

3. Forest species recognition using color-based features;Filho,2010

4. Forest species recognition using macroscopic images;Filho;Mach. Vis. Appl.,2014

5. Forest species recognition using deep convolutional neural networks;Hafemann,2014

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1. Convolutional neural networks for quality and species sorting of roundwood with image and numerical data;Expert Systems with Applications;2024-07

2. Integrated Analysis of Machine Learning and Deep Learning in Silkworm Pupae (Bombyx mori) Species and Sex Identification;Animals;2023-11-22

3. Evaluation Of Test Specimen Surface Preparation On Macroscopic Computer Vision Wood Identification;Wood and Fiber Science;2023-11-15

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