Enhancing paddy leaf disease diagnosis -a hybrid CNN model using simulated thermal imaging

Rice, as a staple crop globally, requires proactive and accurate disease detection to ensure sustainable production. This study introduces a novel hybrid Deep Learning approach integrating thermal imaging and model hybridization for early and precise detection of rice leaf diseases. A dataset of 5,9...

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Bibliographic Details
Main Authors: Jagamohan Padhi, Kunal Mishra, Ashoka Kumar Ratha, Santi Kumari Behera, Prabira Kumar Sethy, Aziz Nanthaamornphong
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Smart Agricultural Technology
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Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525000486
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