Artificial intelligence in the design of the transitions to sustainable food systems

S Camaréna - Journal of Cleaner Production, 2020 - Elsevier
Food systems and our ability to secure food and nutrition for current and future generations
is challenged by population growth, climate change, resource depletion and pollution. The …

Food composition at present: new challenges

M Kapsokefalou, M Roe, A Turrini, HS Costa… - Nutrients, 2019 - mdpi.com
Food composition data is important for stakeholders and users active in the areas of food,
nutrition and health. New challenges related to the quality of food composition data reflect …

Machine learning prediction of the degree of food processing

G Menichetti, B Ravandi, D Mozaffarian… - Nature …, 2023 - nature.com
Despite the accumulating evidence that increased consumption of ultra-processed food has
adverse health implications, it remains difficult to decide what constitutes processed food …

Diets, nutrients, genes and the microbiome: recent advances in personalised nutrition

NV Matusheski, A Caffrey, L Christensen… - British Journal of …, 2021 - cambridge.org
As individuals seek increasingly individualised nutrition and lifestyle guidance, numerous
apps and nutrition programmes have emerged. However, complex individual variations in …

Evaluating missing value imputation methods for food composition databases

G Ispirova, T Eftimov, BK Seljak - Food and Chemical Toxicology, 2020 - Elsevier
Missing data are a common problem in most research fields and introduce an element of
ambiguity into data analysis. They can arise due to different reasons: mishandling of …

Using natural language processing and artificial intelligence to explore the nutrition and sustainability of recipes and food

M Van Erp, C Reynolds, D Maynard… - Frontiers in Artificial …, 2021 - frontiersin.org
In this paper, we discuss the use of natural language processing and artificial intelligence to
analyze nutritional and sustainability aspects of recipes and food. We present the state-of …

Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment

S Mezgec, T Eftimov, T Bucher, BK Seljak - Public health nutrition, 2019 - cambridge.org
ObjectiveThe present study tested the combination of an established and a validated food-
choice research method (the 'fake food buffet') with a new food-matching technology to …

[HTML][HTML] Data harmonisation as a key to enable digitalisation of the food sector: A review

A Zeb, JP Soininen, N Sozer - Food and Bioproducts Processing, 2021 - Elsevier
The food sector is driven by a large number of actors, including primary producers,
manufacturers, logistics providers, retailers, and consumers. At each phase of the food value …

[HTML][HTML] The essential role of food composition databases for public health nutrition–Experiences from the Netherlands

MC Ocké, S Westenbrink, CTM van Rossum… - Journal of Food …, 2021 - Elsevier
Public health nutrition is the promotion of nutrition-related health of populations. This paper
aims to show the essential role of food composition databases for public health nutrition …

[HTML][HTML] Few-shot entity linking of food names

D Feher, F Ibrahim, Z Cheng, V Schlegel… - Information Processing …, 2023 - Elsevier
Entity linking (EL), the task of automatically matching mentions in text to concepts in a target
knowledge base, remains under-explored when it comes to the food domain, despite its …