Supervisor
David Gonzalez
Programme
MSc in Data Analytics
Subject
Computer Science
Abstract
This research explores the use of Convolutional Neural Networks (CNNs) for the automated classification and profiling of food products based on publicly sourced data. With so many food products available to consumers worldwide and by default, their labels, presents a challenging task for food business operators to conform to the complex regulations and for regulators to verify compliance with these requirements. With the increasing importance of data analytics in various domains, including food chains and agriculture, this study addresses the need for efficient and accurate methods for the classification and eco / nutritional profiling of foods in a timely manner.
Date of Award
2-2024
Full Publication Date
2-2024
Access Rights
open access
Document Type
Dissertation
Recommended Citation
McElhinney, Cormac, "Development And Optimisation of Convolutional Neural Networks (Cnns) to Predict the Nutrition and Sustainability Scores of Foods from Crowd Sourced Images" (2024). MSc in Data Analytics. 2.
https://arc.cct.ie/msc_da/2