Research on species identification of wild grape leaves based on deep learning-Reference-Cited by-同舟云学术

Research on species identification of wild grape leaves based on deep learning

Published:2024-03 Issue: Volume:327 Page:112821
ISSN:0304-4238
Container-title:Scientia Horticulturae
language:en
Short-container-title:Scientia Horticulturae

Author:

Pan Bowen,Liu Chonghuai,Su Baofeng,Ju Yanlun,Fan Xiucai,Zhang Ying,Sun Lei,Fang Yulin,Jiang Jianfu^ORCID

Publisher

Elsevier BV

Reference33 articles.

1. Using a resnet50 with a kernel attention mechanism for rice disease diagnosis;Al-Gaashani;Life,2023

2. Machine learning approach for classification of mangifera indica leaves using digital image analysis;Aslam;Int. J. Food Prop.,2022

3. Hyperparameter-tuned batch-updated stochastic gradient descent: plant species identification by using hybrid deep learning;Barhate;Ecol. Inform.,2023

4. Dissecting the genetic architecture of root-related traits in a grafted wild Vitis berlandieri population for grapevine rootstock breeding;Blois;Theor. Appl. Genet.,2023

5. A deep-learning method for the classification of apple varieties via leaf images from different growth periods in natural environment;Chen;Symmetry (Basel),2022

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1. An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification;Ecological Informatics;2024-09

2. A Novel Feature Selection Approach-Based Sampling Theory on Grapevine Images Using Convolutional Neural Networks;Arabian Journal for Science and Engineering;2024-06-25

3. Enhancing Precision in Rice Leaf Disease Detection: A Transformer Model Approach with Attention Mapping;2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS);2024-03-08