NEW:Fishing and forecast

Here is the result of fishing forecast and location of fishing based on real numbers from the turn of the century. The artificial intelligence then creates a picture that shows where fish will stay in the coming months.

Click on the images to see the movement of fish on fishing tags.

Cod

Location of fishing on Cod. The picture shows the catch per attack unit (CPUE) since the turn of the century and how the artificial intelligence sees the actual distribution of the species based on historical data as well as bottom temperature and other factors. CPUE is calculated from the kg per minute that comes into the fishing gear from the time it is set out until it is picked up.

Haddock

Haddock fishing location. The picture shows the catch per attack unit (CPUE) since the turn of the century and how the artificial intelligence sees the actual distribution of the species based on historical data as well as bottom temperature and other factors. CPUE is calculated from the kg per minute that enter the fishing gear from the time it is set out until it is picked up.

Saithe

Saithe fishing location. The picture shows the catch per attack unit (CPUE) since the turn of the century and how the artificial intelligence sees the actual distribution of the species based on historical data as well as bottom temperature and other factors. CPUE is calculated from the kg per minute that enter the fishing gear from the time it is set out until it is picked up.

Redfish

Redfish fishing location. The picture shows the catch per attack unit (CPUE) since the turn of the century and how the artificial intelligence sees the actual distribution of the species based on historical data as well as bottom temperature and other factors. CPUE is calculated from the kg per minute that enter the fishing gear from the time it is set out until it is picked up.

Greenland Halibut

Fishing location on Greenland Halibut. The picture shows the catch per attack unit (CPUE) since the turn of the century and how the artificial intelligence sees the actual distribution of the species based on historical data as well as bottom temperature and other factors. CPUE is calculated from the kg per minute that comes into the fishing gear from the time it is set out until it is picked up.

Key initiatives

"The Blue Economy" is a forward-thinking organization committed to enhancing the sustainability of fisheries management through the innovative use of machine learning (ML) technologies. By transitioning from traditional assessment models to more advanced data-driven approaches, the organization aims to address the complexities of marine ecosystems effectively.

Implementation of Machine Learning Models: The organization has developed ML models that outperform traditional methods like SAM (State-space Assessment Model) and GADGET (Globally Applicable Area-Disaggregated General Ecosystem Toolbox) by learning from vast datasets, which leads to more accurate predictions of fish stock levels.
Exploratory Data Analysis (EDA): By conducting EDA on fishing fleet data, the organization has provided new insights into the seasonal and annual variations in fish populations, which are critical for setting accurate fishing quotas.
ML-driven Stratification for Stock Assessment: A significant advancement has been the use of ML to create new stratification methods for stock assessment. This approach considers multiple environmental and biological variables, thus providing a more robust framework for stock prediction.
Collaboration and Data Sharing: Engaging in collaborative efforts with research institutes and leveraging data from various sources, including international databases, to enrich the datasets used for model training.
These efforts highlight the organization's commitment to employing cutting-edge technology to ensure the sustainability and health of marine fisheries, contributing to a more robust understanding and management of marine resources.