References

Maine PSP Forecast Project

Evanilla J, Record NR, Tupper B, Lewis B, Miller DW, MacLeod J, Kanwit K, Burnell C, Archer S (2026) “Assessment of a deep learning model for algal toxin forecasting in coastal Maine” Harmful Algae 103184

Record NR, Evanilla J, Kanwit K, Burnell C, Cartisano C, Lewis B, MacLeod J, Tupper B, Miller DW, Tracy A, White C, Moretti M, Hamilton B, Barner C, Archer SD (2022) “Benefits and challenges of a stakeholder-driven shellfish toxicity forecast in coastal Maine” Frontiers in Marine Science 9:923738.

Record NR, Evanilla, J (2022) “Toxic algae closures: What kinds of predictions are needed?” National Shellfisheries Association Quarterly Newsletter 2022:2.

Grasso I, Archer SD, Burnell C, Tupper B, Rauschenburg C, Kanwit K, Record NR (2019) “The hunt for red tides: Deep learning algorithm forecasts shellfish toxicity at site scales in coastal Maine” Ecosphere 10(12):e02960.

Official Forecast Webpage (State of Maine)

Funding

Joint FAO-IOC-IAEA technical guidance for the implementation of early warning systems for harmful algal blooms

Keras - Tensorflow

Keras

Tensorflow for R

Deep Learning with R highly recommended text

Similar Efforts

Other Machine-learning based Shellfish Toxicity/Harmful Algae Forecasting (Not a comprehensive list, just a sampling)

A Review of ML HAB Forecasting Efforts

Portugese DSP Forecasting + project page

Adriatic Sea HABs

Bayesian Network for Irish Shellfish Toxins

LSTM Neural Network for Korean PSTs

Random Forest SE Alaska PSTs