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...

Full description

Bibliographic Details

Published in:	Smart Agricultural Technology
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
Subjects:	Rice leaf disease Deep learning CNN Crop yield Agriculture Food security
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772375525000486