Using artificial intelligence to tackle food waste and enhance the circular economy: Maximising resource efficiency and Minimising environmental impact: A review

H Onyeaka, P Tamasiga, UM Nwauzoma, T Miri… - Sustainability, 2023 - mdpi.com
Food waste is a global issue with significant economic, social, and environmental impacts.
Addressing this problem requires a multifaceted approach; one promising avenue is using …

[HTML][HTML] Machine learning in nutrition research

D Kirk, E Kok, M Tufano, B Tekinerdogan… - Advances in …, 2022 - Elsevier
Data currently generated in the field of nutrition are becoming increasingly complex and
high-dimensional, bringing with them new methods of data analysis. The characteristics of …

[HTML][HTML] Revolutionizing the food industry: The transformative power of artificial intelligence-a review

V Zatsu, AE Shine, JM Tharakan, D Peter… - Food Chemistry: X, 2024 - Elsevier
Artificial Intelligence (AI) is revolutionizing the food industry by optimizing processes,
improving food quality and safety, and fostering innovation. This review examines AI's …

Nudging healthy choices in food search through visual attractiveness

AD Starke, MC Willemsen, C Trattner - Frontiers in Artificial …, 2021 - frontiersin.org
Recipe websites are becoming increasingly popular to support people in their home
cooking. However, most of these websites prioritize popular recipes, which tend to be …

Cultural adaptation of recipes

Y Cao, Y Kementchedjhieva, R Cui… - Transactions of the …, 2024 - direct.mit.edu
Building upon the considerable advances in Large Language Models (LLMs), we are now
equipped to address more sophisticated tasks demanding a nuanced understanding of …

Deep-learning-assisted multi-dish food recognition application for dietary intake reporting

YC Liu, DD Onthoni, S Mohapatra, D Irianti, PK Sahoo - Electronics, 2022 - mdpi.com
Artificial intelligence (AI) is among the major emerging research areas and industrial
application fields. An important area of its application is in the preventive healthcare domain …

Deep learning accurately predicts food categories and nutrients based on ingredient statements

P Ma, Z Zhang, Y Li, N Yu, J Sheng, HK McGinty… - Food Chemistry, 2022 - Elsevier
Determining attributes such as classification, creating taxonomies and nutrients for foods
can be a challenging and resource-intensive task, albeit important for a better understanding …

Significant Applications of Artificial Intelligence Towards Attaining Sustainability.

A Haleem, M Javaid, IH Khan… - Journal of Industrial …, 2023 - search.ebscohost.com
Artificial Intelligence (AI) has grown and taken up challenging environmental issues. This
technology helps accomplish sustainable development goals by hel** us develop more …

Understanding and predicting cross-cultural food preferences with online recipe images

Q Zhang, D Elsweiler, C Trattner - Information Processing & Management, 2023 - Elsevier
Predicting food preferences is challenging due to the numerous factors that can influence
individual taste. Cultural influences are one such factor that can significantly impact food …

A central Asian food dataset for personalized dietary interventions

A Karabay, A Bolatov, HA Varol, MY Chan - Nutrients, 2023 - mdpi.com
Nowadays, it is common for people to take photographs of every beverage, snack, or meal
they eat and then post these photographs on social media platforms. Leveraging these …