EXPLAINABLE ARTIFICIAL INTELLIGENCE (XAI) APPLICATION ON CLASSIFICATION OF DISEASES AND SYMPTOMS OF PEST INFESTATION ON PLANTS (CASE STUDY ON RICE PLANT LEAVES)

• Main Author: Manuel Kurniawan, William
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/84978
• Institution: Institut Teknologi Bandung

Detection of disease and pest symptoms in rice plants is essential to prevent potential losses caused by plant damage. While machine learning is a common approach for detecting these symptoms, it has the drawback of functioning as a "black box," making it difficult for users to fully co...