Classifying Insect Pests from Image Data using Deep Learning-Reference-Cited by-同舟云学术

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Classifying Insect Pests from Image Data using Deep Learning

Published:2022-11-05 Issue: Volume: Page:
ISSN:
Container-title:2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
language:
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Author:

Bin Mohsin Md. Raiyan¹,Ramisa Sadia Afrin¹,Saad Mohammad¹,Rabbani Shahreen Husne¹,Tamkin Salwa¹,Ashraf Faisal Bin¹,Reza Md. Tanzim¹

Affiliation:

1. Brac University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1212

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9979807/9979817/09979872.pdf?arnumber=9979872

Reference19 articles.

1. Multi-focus image fusion: A Survey of the state of the art

2. Very deep convolutional networks for large-scale image recognition;simonyan;ArXiv Preprint,2014

3. Deep Learning Applications in Medical Image Analysis

4. Classification of Brain Tumors from MRI Images Using a Convolutional Neural Network;badza;Applied Sciences,2020

5. Quick Shift and Kernel Methods for Mode Seeking

Cited by 3 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. Pest recognition based on multi-image feature localization and adaptive filtering fusion;Frontiers in Plant Science;2023-11-17

2. A Multi-stage Prediction Framework for Pest Identification;2023 IEEE 9th International Conference on Cloud Computing and Intelligent Systems (CCIS);2023-08-12

3. Automatic Classification of Bagworm, Metisa plana (Walker) Instar Stages Using a Transfer Learning-Based Framework;Agriculture;2023-02-14

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