Precision diagnosis of tomato diseases for sustainable agriculture through deep learning approach with hybrid data augmentation

Tomato is a key crop in global agriculture, yet it faces yield and quality challenges due to various diseases. Traditional disease identification methods are slow and require expertise, limiting their practicality in large-scale farming. Integrating automated disease detection with precision agricul...

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Bibliographic Details

Published in:	Current Plant Biology
Main Authors:	Kamaldeep Joshi, Sahil Hooda, Archana Sharma, Humira Sonah, Rupesh Deshmukh, Narendra Tuteja, Sarvajeet Singh Gill, Ritu Gill
Format:	Article
Language:	English
Published:	Elsevier 2025-03-01
Subjects:	Automated disease identification Hybrid data augmentation Image processing Machine learning in agriculture Precision agriculture Tomato disease detection
Online Access:	http://www.sciencedirect.com/science/article/pii/S2214662825000052