A Deep Learning Approach for Crop Disease and Pest Classification Using Swin Transformer and Dual-Attention Multi-Scale Fusion Network

A Deep Learning Approach for Crop Disease and Pest Classification Using Swin Transformer and Dual-Attention Multi-Scale Fusion Network

Crops are essential for the survival of the human race, and their significance steadily rises alongside the increasing global population. Cashew, cassava, maize, and tomato are major economic crops that support the livelihoods, economies, and cultures of many countries. However, these crops face sev...

Full description

Saved in:
Bibliographic Details
Main Authors: R. Karthik, Armaano Ajay, Akshaj Singh Bisht, T. Illakiya, K. Suganthi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Crop disease
CNN
deep learning
Swin transformer
triplet attention
Online Access:https://ieeexplore.ieee.org/document/10719979/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10719979/

Similar Items