Ensemble Deep Learning Models for Fine-grained Plant Species Identification-Reference-Cited by-同舟云学术

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Ensemble Deep Learning Models for Fine-grained Plant Species Identification

Published:2021-12-08 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
language:
Short-container-title:

Author:

Malik Owais Ahmed¹,Faisal Muhammad²,Hussein Burhan Rashid³

Affiliation:

1. Universiti Brunei Darussalam,Digital Science Department/Institute of Applied Data Analytics,Gadong,Brunei Darussalam

2. King Fahd University of Petroleum and Minerals,Dammam Community College,Dhahran,Saudi Arabia

3. Universiti Brunei Darussalam,Digital Science Department,Gadong,Brunei Darussalam

Funder

BD

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9718231/9718367/09718387.pdf?arnumber=9718387

Reference33 articles.

1. A novel ensemble method for classification in imbalanced datasets using split balancing technique based on instance hardness (sBal_IH)

2. A survey of the recent architectures of deep convolutional neural networks

3. Real-time visual inspection system for grading fruits using computer vision and deep learning techniques

4. Semantic Segmentation of Herbarium Specimens Using Deep Learning Techniques

5. Plant Identification: Experts vs. Machines in the Era of Deep Learning

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1. Improving soybean yield prediction by integrating UAV nadir and cross-circling oblique imaging;European Journal of Agronomy;2024-04

2. Spatial-temporal mapping of forest vegetation cover changes along highways in Brunei using deep learning techniques and Sentinel-2 images;Ecological Informatics;2023-11

3. A PLANT RECOGNITION APPROACH USING HIGH RESOLUTION NETWORK;Journal of Computer Science and Cybernetics;2023-10-06

4. Computer Vision and Machine Learning for Smart Farming and Agriculture Practices;Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices;2023-06-30

5. The impact of in-air features on the diagnosis of developmental dysgraphia;Journal of Intelligent & Fuzzy Systems;2023-01-05

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