Nagineni Venkata Sireesha

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 by the results.