Data-Centric Approaches for Vertical Agriculture

This project addresses one of the challenges confronting Vertical Agriculture (VA): the acquisition of added-value data, their analysis and their transmission to enable VA to provide a steady production while minimizing its environmental impacts, manage its yield and allow for a better understanding of its inter-related component. As a starting point, strawberry production is looked at with its cluster partner NovaFarming. The approach proposed of identifying the data required from which knowledge can be generated to enhance the overall performance of the VA installation. This includes collecting data to be analyzed and proposing data-centric approaches to act upon in the VA enclosures.

Faculty Supervisor:

Danielle Monfet

Student:

Partner:

Nova Farming Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University; École de technologie supérieure; McGill University

Program: