Nature

A comparative analysis of single- and dual-backbone deep learning architectures with explainable AI for cherry leaf disease classification

Accurate differentiation of visually similar cherry leaf diseases remains a major challenge in precision agriculture due to overlapping symptom patterns and environmental variability. This study ...
Nature

Remote sensing-based landslide prediction and risk assessment using a hybrid CNN–LSTM deep learning model

Landslide susceptibility assessment is essential for risk mitigation in regions affected by complex terrain and variable environmental conditions. This study proposes a hybrid deep learning framework ...