Zulhipni Reno Saputra Elsi

A comprehensive evaluation of broad learning system for deep feature- based chili leaf disease classification

A hybrid framework for the classification of chili leaf disease that combines DenseNet201-based deep feature extraction with a Broad Learning System (BLS) classifier is investigated, indicating that the integration of DenseNet201 feature extraction with a Broad Learning System offers a competitive and computationally efficient alternative for the automated classification of chili leaf disease.