Description
Detecting seagrass presence/absence and distinguishing seagrass families in the Mediterranean via supervised learning methods was a problem. By merging datasets about seagrass presence and other external environmental variables, the authors developed suitable training data, enhanced by seagrass absence data algorithmically produced based on certain hypotheses.
Details
- Original Author(s)
- Effrosynidis, Dimitrios.;Arampatzis, Avi.;Sylaios, Georgios.
- Topic(s)
- Data and Monitoring, Diversification and Adding Value, Environmental Performance
- Geographical Coverage
- European
- Date
- November, 2018
- Source