Description
The international community of practice for remote detection of weeds (WRS COP) was set up in 2022 as part of the project "The Weed Managers Guide to Remote Detection". The COP spans four countries and engages interested land managers, researchers and agency staff to come on board and share information and imagery. Members work together to trial technology on other weeds and determine future research pathways, facilitating growth and improvement in the use of this technology for weed detection across Australia.A member survey was used to elucidate member preferences for COP arrangements and to inform future development. Meetings were set quarterly, including speaker presentations and networking discussions, and include face-to-face conference forums. Currently, there are 200 members located across Australia, New Zealand, Inner Mongolia and the UK. (Kelly, J., 21 Feb 2024)
Period | 2022 → … |
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Work for | Office of Environment & Heritage (NSW) |
Degree of Recognition | International |
Countries where activity occurred
- Australia
- New Zealand
- Mongolia
- United Kingdom
Related content
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Research Outputs
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Autonomous detection of mouse-ear hawkweed using drones, multispectral imagery and supervised machine learning
Research output: Contribution to journal › Article › peer-review
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Remote tiny weeds detection
Research output: Book chapter/Published conference paper › Conference paper › peer-review
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Weed managers guide to remote detection: Understanding opportunities and limitations of technologies for remote detection of weeds
Research output: Book chapter/Published conference paper › Conference paper › peer-review
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Opportunities and limitations of new remote sensing and AI technologies for weed detection and mapping – guidelines and a new community of practice
Research output: Book chapter/Published conference paper › Conference paper › peer-review
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African Lovegrass Segmentation with Artificial Intelligence Using UAS-based Multispectral and Hyperspectral Imagery
Research output: Contribution to journal › Article › peer-review
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Bitou bush detection and mapping using UAV-based multispectral and hyperspectral imagery and artificial intelligence
Research output: Contribution to journal › Article › peer-review