Deakin University
Browse

Efficient Plant Disease and Pest Recognition Methods with Deep Learning

Download (32.6 MB)
thesis
posted on 2024-11-08, 05:27 authored by Janarthan Sivasubramaniam
This thesis presents efficient deep-learning methods for plant disease and pest recognition. It proposes a unique deep metric learning-based architecture for disease recognition and a novel plant family-based approach for disease characterization. Additionally, it explores attention-based lightweight architectures for effective pest identification. These approaches enhance the accuracy and efficiency of plant disease and pest recognition tasks.

History

Pagination

187 p.

Open access

  • Yes

Language

eng

Degree type

Doctorate

Degree name

Ph.D.

Copyright notice

All rights reserved

Editor/Contributor(s)

John Yearwood, Sutharshan Rajasegarar

Faculty

Faculty of Science, Engineering and Built Environment

School

School of Information Technology

Usage metrics

    Theses

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC