Prediction and classification of rice leaves using the improved PSO clustering and improved CNN-Reference-Cited by-同舟云学术

Prediction and classification of rice leaves using the improved PSO clustering and improved CNN

Published:2023-02-17 Issue:14 Volume:82 Page:21701-21714
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Bhimavarapu Usharani

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-14631-7.pdf

Reference35 articles.

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3. Bandara D, Mayurathan B (2021) Detection and classification of rice plant diseases using image processing techniques. International conference on advanced research in computing (ICARC2021), 1–5

4. Bhimavarapu U (2022) IRF-LSTM:enhanced regularization function in LSTM to predict the rainfall. Neural Comput & Applic 34(22):20165–20177

5. Brahimi M, Boukhalfa K, Moussaoui A (2017) Deep learning for tomato diseases: classification and symptoms visualization. Appl Artif Intell 31:299–315

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