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Deep learning models for herbal plant leaf classification: a comparative analysis | Synapse
March 3, 2026
Deep learning models for herbal plant leaf classification: a comparative analysis
MR
Megha Raina
UB
Umar Bashir
University of Jammu
VM
Vibhakar Mansotra
University of Jammu
Key Points
Classification accuracy for herbal plants improved using deep learning models.
Top models achieved up to 95% accuracy in identifying herbal plant leaves.
Comparative analysis of various machine learning techniques in image recognition tasks.
Findings suggest deep learning can significantly enhance herbal plant leaf identification accuracy.
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Cite This Study
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Raina et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75bc7c6e9836116a23bea
https://doi.org/https://doi.org/10.1007/s11042-026-21338-y