Comparing pre-trained models for efficient leaf disease detection: a study on custom CNN
Abstract Leaf disease detection is a crucial task in modern agriculture, aiding in early diagnosis and prevention of crop infections. In this research paper, authors present a comprehensive study comparing nine widely used pre-trained models, namely DenseNet201, EfficientNetB3, EfficientNetB4, Incep...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2024-02-01
|
Series: | Journal of Electrical Systems and Information Technology |
Subjects: | |
Online Access: | https://doi.org/10.1186/s43067-024-00137-1 |