Plant Leaf Diseases Severity Estimation using Fine-Tuned CNN Models
Author:
Affiliation:
1. University School of Information, Communication, and Technology, Guru Gobind Singh Indraprastha University,New Delhi,India,110078
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10111836/10111935/10111948.pdf?arnumber=10111948
Reference28 articles.
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2. Plant diseased leaf segmentation and recognition by fusion of superpixel, K-means and PHOG
3. Plant disease identification from individual lesions and spots using deep learning;arnal barbedo;Biosyst Eng,2019
4. Development and Validation of a Deep Learning Algorithm for the Recognition of Plant Disease
5. Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection
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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
2. Plant Disease Severity Assessment Based on Machine Learning and Deep Learning: A Survey;Journal of Computer and Communications;2023
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