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Sarita Yadav

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Open access Oct 2026

A lightweight explainable hybrid convolutional neural network for potato leaf blight detection

Potato (Solanum tuberosum), the fourth most abundant food crop in the world, is subjected to significant challenges due to diseases such as late blight, causing global annual yield loss exceeding $6.7 billion. Current methods of detection are time-consuming and frequently fail to identify early-stage infections. Deep l...

Shubham Roy, Achin Jain, A. Dubey et al. · 0 citations
Open access Jul 2026

Adaptive test-time augmentation via KL-regularized reinforcement learning for robust visual inference.

Deep neural networks often suffer significant accuracy degradation when exposed to real-world image corruptions and distribution shifts. To overcome the limitations of fixed, input-agnostic test-time augmentation (TTA), an adaptive framework is proposed that learns per-sample transformations via reinforcement learning....

T. Mittal, A. Dubey, Dharmender Saini et al. · 0 citations

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