Diagnosis of Custard Apple Disease Based on Adaptive Information Entropy Data Augmentation and Multiscale Region Aggregation Interactive Visual Transformers

Diagnosis of Custard Apple Disease Based on Adaptive Information Entropy Data Augmentation and Multiscale Region Aggregation Interactive Visual Transformers

Accurate diagnosis of plant diseases is crucial for crop health. This study introduces the EDA–ViT model, a Vision Transformer (ViT)-based approach that integrates adaptive entropy-based data augmentation for diagnosing custard apple <i>(Annona squamosa</i>) diseases. Traditional models...

Full description

Saved in:
Bibliographic Details
Main Authors: Kunpeng Cui, Jianbo Huang, Guowei Dai, Jingchao Fan, Christine Dewi
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Agronomy
Subjects:
plant disease
convolutional neural network
adaptive data augmentation
feature fusion
visual transformer
Online Access:https://www.mdpi.com/2073-4395/14/11/2605
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2073-4395/14/11/2605

Similar Items