2024
DOI: 10.1051/e3sconf/202450001003
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The Identification of Early Blight Disease on Tomato Leaves Utilizing DenseNet Based on Transfer Learning

Budi Arif Dermawan,
Nani Awalia,
Aries Suharso
et al.

Abstract: Early blight disease initiated by the fungus Alternaria solani causes reduced tomato harvests of up to 86%. Identification of these diseases manually was prone to identification errors. Thus, it was required to involve deep learning to reduce oversight. This study aimed to determine the performance of the CNN pre-trained model, namely DenseNet based on transfer learning, for identifying early blight disease in tomatoes. The transfer learning technique was carried out by changing the last layer in the model use… Show more

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