Presentation
Earth Observation Data Fusion for Improved Mapping of Weeds in Natural and Plantation Forests With Machine Learning Approaches
EO&GEO Series: Investigating State-of-the-Art Machine Learning Approaches in Vegetation Analysis Through Earth Observation Data (15-May-2025)
2025
Abstract
No abstract available.
Part of the MDPI Topics Webinar Series.
Details
- Title
- Earth Observation Data Fusion for Improved Mapping of Weeds in Natural and Plantation Forests With Machine Learning Approaches
- Authors
- Sanjeev Kumar Srivastava - University of the Sunshine Coast, Queensland, Sustainability Research Cluster
- Event details
- EO&GEO Series: Investigating State-of-the-Art Machine Learning Approaches in Vegetation Analysis Through Earth Observation Data (15-May-2025)
- Date published
- 2025
- Organisation Unit
- School of Science, Technology and Engineering; Sustainability Research Cluster
- Language
- English
- Record Identifier
- 991146335102621
- Output Type
- Presentation
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