DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes-Reference-Cited by-同舟云学术

DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes

Published:2024-03 Issue: Volume:11 Page:34-49
ISSN:2589-7217
Container-title:Artificial Intelligence in Agriculture
language:en
Short-container-title:Artificial Intelligence in Agriculture

Author:

Ritharson P. Isaac,Raimond Kumudha,Mary X. Anitha,Robert Jennifer Eunice,J Andrew

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Agricultural and Biological Sciences,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference43 articles.

1. Contemporary and futuristic intelligent Technologies for Rice Leaf Disease Detection;Aggarwal,2022

2. Exploring classification of Rice leaf diseases using machine learning and deep learning;Aggarwal,2023

3. Lightweight federated learning for Rice leaf disease classification using non independent and identically distributed images;Aggarwal;Sustainability,2023

4. Pre-trained deep neural network-based features selection supported machine learning for Rice leaf disease classification;Aggarwal;Agriculture,2023

5. Deep learning-based leaf disease detection in crops using images for agricultural applications;Andrew;Agronomy,2022

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2. Proximally sensed RGB images and colour indices for distinguishing rice blast and brown spot diseases by k-means clustering: Towards a mobile application solution;Smart Agricultural Technology;2024-12

3. An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification;Ecological Informatics;2024-09

4. Advancements in rice disease detection through convolutional neural networks: A comprehensive review;Heliyon;2024-06

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