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Nagineni Venkata Sireesha

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Open access Oct 2026

Comparative Evaluation of Fine-Tuned Transfer Learning CNN Architectures for Automated Citrus Fruit Disease Classification

Early and accurate detection of citrus diseases is essential for maintaining fruit quality, minimising crop losses, and supporting sustainable agricultural production. Automated image-based diagnostic systems offer a scalable alternative to conventional manual inspection, which is often time-intensive, subjective, and...

Nagineni Venkata Sireesha, G. Rekha · 0 citations
Open access Aug 2026

Hybrid Feature Fusion and Bayesian-Optimized Ensemble Learning for Robust Citrus Disease Detection

The combination of hybrid feature fusion, NCA-based feature optimization, and Bayesian-optimized ensemble classification leads to enhanced discriminative power, greater robustness, and better generalization performance for the system in citrus disease identification in a real-world agricultural setting, as demonstrated...

Nagineni Venkata Sireesha, Gillala Rekha · 0 citations

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