EXPLAINABLE ARTIFICIAL INTELLIGENCE (XAI) APPLICATION ON CLASSIFICATION OF DISEASES AND SYMPTOMS OF PEST INFESTATION ON PLANTS (CASE STUDY ON RICE PLANT LEAVES)
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...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/84978 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |