The food business is using ingredients’ data and algorithms to understand how to create unique recipes and how to ensure sustainable food

The fundamental question about why we eat what we eat led Ganesh Bagler to explore computational gastronomy, a blend of data science and food.
Bagler, professor at Indraprastha Institute of Information Technology Delhi, found that the field can transform the food landscape and be leveraged for better health and nutrition through culinary applications like recipe design, food-beverage pairing, novel recipe generation, disease-specific culinary recommendation, dietary interventions, flavour combinations and taste predictions.
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