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A MACHINE LEARNING CLUSTERING ALGORITHM TO IDENTIFY GAPING BEHAVIOUR IN MYTILUS SPP UNDER CONTRASTING ENVIRONMENTAL CONDITIONS

Royer, Edouard; Bertolini, Camilla; Capelle, Jacob J.; Bouma, Tjeerd J.; Milan, Massimo; Pastres, Roberto

Presentation given at the Aquaculture Europe 2021 conference in the Precision Farming, Modeling and Artificial Intelligence session

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Publication date:
October 12, 2021
DOI:
10.5281/zenodo.5564278

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10.5281/zenodo.5564278

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Keyword(s):
Precision Shellfish Farming Clustering Machine Learning Gaping Environmental Variables Mytilus
Grants:
European Commission:
  • GAIN - Green Aquaculture Intensification in Europe (773330)
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License (for files):
Creative Commons Attribution 4.0 International

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