Abstract

Weed identification is a fundamental step in weed management. Traditional identification based on taxonomic features can be extremely challenging, especially at young seedling stage. It could also take days or months to confirm the identification through various channels, which would mean the loss of prime opportunity to control the weed. Recent advances in computer vision and machine learning have shown great success in various automatic visual detection tasks. It is therefore appropriate choice to capture visual field information and further process it to be able to realize autonomous weed identification promptly. This paper presents a convenient approach that applies image processing and machine learning for quick and accurate weeds identification on-site. Three deep models have been implemented to identify weeds via a smartphone. It is a proof-of-concept study targeting 16 selected most important agricultural weeds in Australia. We believe the proposed approach can help growers make a timely decision to spray the corresponding herbicide to reduce the financial loss annually.
Original languageEnglish
Title of host publicationImage and Video Technology
Subtitle of host publication10th Pacific-Rim Symposium, PSIVT 2022, Bintan Island, Indonesia, November 12–14, 2022, Proceedings
PublisherSpringer
Pages146-158
Number of pages13
Volume13763
ISBN (Electronic)9783031264313
ISBN (Print)9783031264306
DOIs
Publication statusPublished - 28 Apr 2023
Event10th Pacific-Rim Symposium on Image and Video Technology: PSIVT 2022 - Online
Duration: 25 Nov 202228 Nov 2022
http://www.cis-ram.org/psivt2022/workshops.html (Conference website)
http://www.cis-ram.org/psivt2022/call_for_papers.html (Call for papers)
http://www.cis-ram.org/psivt2022/program.html (Program)
https://arc.nus.edu.sg/wordpress/wp-content/uploads/2022/05/PSIVT-c4p-revised-v8_1.pdf
https://link.springer.com/book/9783031264320 (Proceedings due for publication April 2023 - SpringerLink)

Publication series

NameLecture Notes in Computer Sciences
PublisherSpringer
Volume13763
ISSN (Print)0302-9743

Conference

Conference10th Pacific-Rim Symposium on Image and Video Technology
Period25/11/2228/11/22
OtherThe Pacific-Rim Symposium on Image and Video Technology (PSIVT) is a premier level biennial series of symposia that aim at providing a forum for researchers and practitioners who are being involving, or are contributing to theoretical advances or practical implementations in image and video technology. The 10-th Pacific-Rim Symposium on Image and Video Technology (PSIVT 2022) will be held Online from 25th to 28th November, 2022.

The PSIVT is a premier level biennial series of symposia that aims to provide a forum for researchers and practitioners in the Pacific Rim and around the world who are involving in contributing to theoretical advances or practical implementations in image and video technology. The PSIVT has been held 9 times. It is a highly referenced conference that provides authors with useful feedbacks. Submissions are invited on significant, original, and previously unpublished research on all aspects of image and video technology. All papers will receive mindful and rigorous reviews.
Internet address

Fingerprint

Dive into the research topics of 'Rapid on-site weed identification with machine learning'. Together they form a unique fingerprint.

Cite this