CNN Ensembles for Pear Leaf Disease Severity Estimation
Author:
Affiliation:
1. University of Sciences and Technology Houari Boumediene (USTHB),Laboratoire d’Ingénierie des Systèmes Intelligents et Communicants (LISIC) Faculty of Electrical Engineering,Algiers,Algeria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10382705/10382711/10382821.pdf?arnumber=10382821
Reference25 articles.
1. Stacking ensemble of lightweight convolutional neural networks for plant leaf disease recognition;Enkvetchakul;ICIC Express Letters,2022
2. Enhancement of plant leaf disease classification based on snapshot ensemble convolutional neural network;Puangsuwan;ICIC Express Letters,2021
3. Leaf species and disease classification using multiscale parallel deep CNN architecture
4. Leaf and spike wheat disease detection & classification using an improved deep convolutional architecture
5. A diverse ensemble classifier for tomato disease recognition
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1. Fusion of Deep Features for Yellow Rust Severity Estimation in Wheat Leaves;2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS);2024-04-24
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