Enhancing Tomato Leaf Disease Detection via Optimized VGG16 and Transfer Learning Techniques

Enhancing Tomato Leaf Disease Detection via Optimized VGG16 and Transfer Learning Techniques

Identification of tomato leaf disease remains difficult because standard approaches are frequently incorrect in identifying distinct signs. Convolutional Neural Networks (CNNs) perform well in image classification and pattern identification, although they are prone to overfitting. Thus, max pooling...

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Bibliographic Details
Main Authors: Sandy Putra Siregar, Imam Akbari, Poningsih Poningsih, Anjar Wanto, Solikhun Solikhun
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2025-06-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
leaf disease
images
classification
proposed method
transfer learning
Online Access:https://jurnal.iaii.or.id/index.php/RESTI/article/view/6410
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