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98.95% accuracy was achieved by a novel LGF-CBAM deep learning model on the Cocoa_Pod_Disease_Gh dataset. This 5.5 KB XLS file contains results from an ablation study for activation function selection, authored by Henry Techie-Menson and last updated in April 2026. The study cross-validated the model on four additional cocoa disease datasets, with reported accuracies ranging from 94.00% to 98.53%.
Data is in XLS format, which may require specific software to open.