Making acoustic scattering models available to fisheries and plankton scientists via the world wide web

Open Source Electronic Monitoring Library

Python-based tools for NOAA AFSC GAP marine species surveys data

This list is mirroring all links provided on the CEFI information hub

Demonstrating the use of behavior-driven development (BDD) to Bayesian growth models for assumption tracking.

An application to review fish counter videos. Allows user to classify the species in the video and direction of travel. The dataset is designed work with a machine learning platform.

Fisheries production dashboard

Automatic discard registration in cluttered environments using deep learning and object tracking: class imbalance, occlusion, and a comparison to human review

librarie that help to analyze the Vessel Monitoring System for Mexican Fisheries fleets

A python library for fish stock assessment

http://www.openfisheries.org/ Python wrapper

Edge-AI powered Data-to-Text system that analyzes global fishery trends (Capture, Aquaculture, Stocks) and generates automated status reports offline using LSTM & TensorFlow Lite.

AI-Driven Unified Data Platform for Fisheries & Ocean Insights : a predictive system that links fish catch data with oceanographic parameters to forecast species-wise catch, identify sustainable fishing zones, and generate overfishing alerts.

Es una app web que ayuda a gestionar la trazabilidad de la flota pesquera menor