Development and Ground Truthing AI-based models of Seaweed Cultivation in Relationship to Environmental Nitrogen Availability

Seaweed aquaculture is an important and increasingly large part of the global economy, and, more recently, a potential solution to combat climate change. The element nitrogen is a key limiting resource for the growth of marine plants, including seaweed. Tracing and modeling nitrogen in the environment is challenging at large scales and requires substantial computational power under classical paradigms and approaches. Artificial intelligence-based approaches offer a potential solution in being able to model environmental nutrient cycling and approximate seaweed growth, but at a fraction of the cost of standard computational approaches. Our work aims to apply artificial intelligence-based models to nitrogen cycling in the environment to better constrain and estimate seaweed growth in complex environments.

Faculty Supervisor:

Carly Buchwald

Student:

Partner:

Coastal Carbon

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program: