About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
inis 21(26): e1

Research Article

An Efficient Pest Classification In Smart Agriculture Using Transfer Learning

Download1427 downloads
Cite
BibTeX Plain Text
  • @ARTICLE{10.4108/eai.26-1-2021.168227,
        author={Tuan T. Nguyen and Quoc-Tuan Vien and Harin Sellahewa},
        title={An Efficient Pest Classification In Smart Agriculture Using Transfer Learning},
        journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
        volume={8},
        number={26},
        publisher={EAI},
        journal_a={INIS},
        year={2021},
        month={1},
        keywords={Deep learning, Transfer Learning, Object Classification, Smart Agriculture},
        doi={10.4108/eai.26-1-2021.168227}
    }
    
  • Tuan T. Nguyen
    Quoc-Tuan Vien
    Harin Sellahewa
    Year: 2021
    An Efficient Pest Classification In Smart Agriculture Using Transfer Learning
    INIS
    EAI
    DOI: 10.4108/eai.26-1-2021.168227
Tuan T. Nguyen1,*, Quoc-Tuan Vien2, Harin Sellahewa1
  • 1: School of Computing, University of Buckingham, United Kingdom
  • 2: Faculty of Science and Technology, Middlesex University, United Kingdom
*Contact email: Tuan.nguyen@buckingham.ac.uk

Abstract

To this day, agriculture still remains very important and plays considerable role to support our daily life and economy in most countries. It is the source of not only food supply, but also providing raw materials for other industries, e.g. plastic, fuel. Currently, farmers are facing the challenge to produce sufficient crops for expanding human population and growing in economy, while maintaining the quality of agriculture products. Pest invasions, however, are a big threat to the growth crops which cause the crop loss and economic consequences. If they are left untreated even in a small area, they can quickly spread out other healthy area or nearby countries. A pest control is therefore crucial to reduce the crop loss. In this paper, we introduce an efficient method basing on deep learning approach to classify pests from images captured from the crops. The proposed method is implemented on various EfficientNet and shown to achieve a considerably high accuracy in a complex dataset, but only a few iterations are required in the training process.

Keywords
Deep learning, Transfer Learning, Object Classification, Smart Agriculture
Received
2020-12-04
Accepted
2021-01-12
Published
2021-01-26
Publisher
EAI
http://dx.doi.org/10.4108/eai.26-1-2021.168227

Copyright © 2021 Tuan T. Nguyen et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL