Comparison of CNN-based deep learning architectures for rice diseases classification

Comparison of CNN-based deep learning architectures for rice diseases classification

Although convolutional neural network (CNN) paradigms have expanded to transfer learning and ensemble models from original individual CNN architectures, few studies have focused on the performance comparison of the applicability of these techniques in detecting and localizing rice diseases. Moreover...

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Bibliographic Details
Main Authors: Md Taimur Ahad, Yan Li, Bo Song, Touhid Bhuiyan
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-09-01
Series:Artificial Intelligence in Agriculture
Subjects:
Deep learning
Convolutional neural networks (CNNs)
Transfer learning
Plant leaf disease detection
Online Access:http://www.sciencedirect.com/science/article/pii/S2589721723000235

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http://www.sciencedirect.com/science/article/pii/S2589721723000235

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