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Using artificial intelligence to tackle food waste and enhance the circular economy: Maximising resource efficiency and minimising environmental impact: A review
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 …
Addressing this problem requires a multifaceted approach; one promising avenue is using …
Applications of artificial intelligence, machine learning, and deep learning in nutrition: a systematic review
In industry 4.0, where the automation and digitalization of entities and processes are
fundamental, artificial intelligence (AI) is increasingly becoming a pivotal tool offering …
fundamental, artificial intelligence (AI) is increasingly becoming a pivotal tool offering …
[HTML][HTML] Machine learning in nutrition research
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 …
high-dimensional, bringing with them new methods of data analysis. The characteristics of …
Applications of artificial intelligence, machine learning, and deep learning in nutrition: a systematic review
In industry 4.0, where the automation and digitalization of entities and processes are
fundamental, artificial intelligence (AI) is increasingly becoming a pivotal tool offering …
fundamental, artificial intelligence (AI) is increasingly becoming a pivotal tool offering …
Cultural adaptation of recipes
Building upon the considerable advances in Large Language Models (LLMs), we are now
equipped to address more sophisticated tasks demanding a nuanced understanding of …
equipped to address more sophisticated tasks demanding a nuanced understanding 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 …
improving food quality and safety, and fostering innovation. This review examines AI's …
Nudging healthy choices in food search through visual attractiveness
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 …
cooking. However, most of these websites prioritize popular recipes, which tend to be …
[HTML][HTML] Deep-learning-assisted multi-dish food recognition application for dietary intake reporting
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 …
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
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 …
can be a challenging and resource-intensive task, albeit important for a better understanding …
Understanding and predicting cross-cultural food preferences with online recipe images
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 …
individual taste. Cultural influences are one such factor that can significantly impact food …