Lightweight citrus leaf disease detection model based on ARMS and cross-domain dynamic attention-Reference-Cited by-同舟云学术

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Lightweight citrus leaf disease detection model based on ARMS and cross-domain dynamic attention

Published:2024-09 Issue:7 Volume:36 Page:102133
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Mo Henghui^ORCID,Wei Linjing

Publisher

Elsevier BV

Reference41 articles.

1. Analysis of the fungal diversity in citrus leaves with greasy spot disease symptoms;Abdelfattah;Microb. Ecol.,2017

2. Backpropagation and stochastic gradient descent method;ichi Amari;Neurocomputing,1993

3. Smartphone assist deep neural network to detect the citrus diseases in agri-informatics;Barman;Glob. Transitions Proc.,2022

4. Comparison of convolution neural networks for smartphone image based real time classification of citrus leaf disease;Barman;Comput. Electron. Agric.,2020

5. Big data and ai revolution in precision agriculture: Survey and challenges;Bhat;Ieee Access,2021

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