Classification of Grapevine Leaf Images with Deep Learning Ensemble Models-Reference-Cited by-同舟云学术

Classification of Grapevine Leaf Images with Deep Learning Ensemble Models

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL)
language:
Short-container-title:

Author:

Lv Qingcong¹

Affiliation:

1. Shandong Technology and Business University,Department of Computer Science and Technology,Yantai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10164835/10164844/10165757.pdf?arnumber=10165757

Reference12 articles.

1. Semantic Image Segmentation with Deep Learning for Vine Leaf Phenotyping;petros;IFAC-PapersOnLine,2022

2. A CNN-SVM study based on selected deep features for grapevine leaves classification;koklu;Measurement,2021

3. An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier

4. Grape leaf disease identification with sparse data via generative adversarial networks and convolutional neural networks;yiping;Precision Agriculture,2022

5. Densely Connected Convolutional Networks

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Efficient Way of Design of Framework using CNN and MLP Algorithms to find B Cancer;2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2024-05-14

2. A System to Increase the Accuracy of Deep Learning based Classification by the Distribution of Labels;Proceedings of the 3rd International Conference on Computer, Artificial Intelligence and Control Engineering;2024-01-26

3. Ensemble Learning based on CNN and Transformer Models for Leaf Diseases Classification;2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM);2024-01-03

4. Grapevine Leaves Recognition Based on IP-ShuffleNet;Mechanisms and Machine Science;2024