AgriPest: A large-scale domain-specific benchmark dataset for practical agricultural pest detection in the wild

Wang, R., Liu, L., Xie, C. et al. (3 more authors) (2021) AgriPest: A large-scale domain-specific benchmark dataset for practical agricultural pest detection in the wild. Sensors, 21 (5). 1601. ISSN 1424-8220

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Item Type: Article
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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords: pest detection; agricultural dataset; AgriPest; deep learning
Dates:
  • Accepted: 12 February 2021
  • Published (online): 25 February 2021
  • Published: 1 March 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
Innovate UK
TS/V002953/1
Depositing User: Symplectic Sheffield
Date Deposited: 26 Feb 2021 15:26
Last Modified: 26 Feb 2021 15:26
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: 10.3390/s21051601
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