Evaluating Machine Learning Techniques for Predicting Salinity
Author:
Affiliation:
1. Victoria University of Wellington,Centre for Data Science and Artificial Intelligence,Wellington,New Zealand
2. Cawthron Institute,Coastal and Freshwater Group,Nelson,New Zealand
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609966/10611750/10612099.pdf?arnumber=10612099
Reference29 articles.
1. The new zealand government acquacul-ture strategy;Govt,2020
2. Minimal effects of oyster aquaculture on local water quality: Examples from southern Chesapeake Bay
3. Sustainable aquaculture in new zealand: Review of the ecological effects of farming shellfish and other non-finfish species;Keeley
4. Life cycle assessment of new zealand mussels and oysters;Warmerdam
5. Increased temperatures combined with lowered salinities differentially impact oyster size class growth and mortality;Rybovich,2016
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