Black-grass monitoring using hyperspectral image data is limited by between-site variability

Goodsell, R.M., Coutts, S., Oxford, W. et al. (4 more authors) (2024) Black-grass monitoring using hyperspectral image data is limited by between-site variability. Remote Sensing, 16 (24). 4749. ISSN 2072-4292

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Item Type: Article
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© 2024 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: black-grass; machine learning; weeds; hyperspectral imagery
Dates:
  • Published: December 2024
  • Published (online): 20 December 2024
  • Accepted: 16 December 2024
  • Submitted: 11 October 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield)
Funding Information:
Funder
Grant number
BIOTECHNOLOGY AND BIOLOGICAL SCIENCES RESEARCH COUNCIL
BB/L001489/1
INNOVATE UK
TS/S01795X/1 26433
Depositing User: Symplectic Sheffield
Date Deposited: 09 Jan 2025 11:04
Last Modified: 09 Jan 2025 11:04
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: 10.3390/rs16244749
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