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Author

Neha Sawant

2 papers indexed here

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Oct 2026

Comparative Evaluation of Lightweight and Heavyweight Convolutional Neural Network Architectures for Apple Leaf Disease Classification

Leaf diseases can significantly reduce both the productivity and quality of crops; therefore, early and accurate diagnosis is required for sustainable farming. Reliance on visual examination by experts is time-consuming and expensive and may result in inconsistent or inaccurate diagnoses. The present study investigated...

Neha Sawant, K. L. Bansal Bansal · 0 citations
Open access Aug 2026

AFS-PLDCNet: An Advanced Computational Tool for the Classification of Apple Leaf Diseases

The experimental results demonstrate that AFS-PLDCNet achieved superior classification accuracy compared to existing single-backbone CNNs and is well-suited for real-time, field-level leaf disease classification and precision agriculture systems.

Neha Sawant, K. L. Bansal · 0 citations

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