2024
DOI: 10.11591/ijece.v14i3.pp3287-3294
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Classification of tea leaf disease using convolutional neural network approach

Ummul Hairah,
Anindita Septiarini,
Novianti Puspitasari
et al.

Abstract: Leaf diseases on tea plants affect the quality of tea. This issue must be overcome since preparing tea drinks requires high-quality tea leaves. Various automatic models for identifying disease in tea leaves have been developed; however, their performance is typically low since the extracted features are not selective enough. This work presents a classification model for tea leaf disease that distinguishes six leaf classes: algal spot, brown, blight, grey blight, helopeltis, red spot, and healthy. Deep learning… Show more

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