Seagrass detection in the mediterranean: A supervised learning approach

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.