AIMC Topic: Nutritive Value
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Rapid and accurate identification and quantification of Lycium barbarum L. components: Integrating deep learning and NMR for nutritional assessment.
Food research international (Ottawa, Ont.)
Mar 15, 2025
Lycium barbarum L. (L. barbarum), revered for its nutritional and commercial value, exhibits variable nutritional contents depending on the consumption method. This study introduces an innovative approach, the Identification and Quantification of L.b...
Using visible and NIR hyperspectral imaging and machine learning for nondestructive detection of nutrient contents in sorghum.
Scientific reports
Feb 19, 2025
Nondestructive, rapid, and accurate detection of nutritional compositions in sorghum is crucial for agricultural and food industries. In our study, the crude protein, tannin, and crude fat contents of sorghum variety samples were taken as the researc...
Unleashing the nutritional potential of Brassica microgreens: A case study on seed priming with Vermicompost.
Food chemistry
Feb 13, 2025
Microgreens constitute ready-to-eat functional foods, being rich sources of phytonutrients and phytochemicals. Because of their short life cycle, seed priming is a promising strategy to fortify their functional outcome. Vermicompost was applied as se...
An Evaluation of ChatGPT for Nutrient Content Estimation from Meal Photographs.
Nutrients
Feb 7, 2025
: Advances in artificial intelligence now allow combined use of large language and vision models; however, there has been limited evaluation of their potential in dietary assessment. This study aimed to evaluate the accuracy of ChatGPT-4 in estimatin...
Nutrient based classification of Phyllospora comosa biomasses using machine learning algorithms: Towards sustainable valorisation.
Food research international (Ottawa, Ont.)
Dec 31, 2024
Sustainable seaweed value chains necessitate accurate biomass biochemical characterisation that leads to product development, geographical authentications and quality and sustainability assurances. Underutilised yet abundantly available seaweed speci...
Enhancing dietary analysis: Using machine learning for food caloric and health risk assessment.
Journal of food science
Oct 4, 2024
In the wake of growing concerns regarding diet-related health issues, this study investigates the application of machine learning methods to estimate the energy content and classify the health risks of foods based on the USDA National Nutrient Databa...
ProTformer: Transformer-based model for superior prediction of protein content in lablab bean (Lablab purpureus L.) using Near-Infrared Reflectance spectroscopy.
Food research international (Ottawa, Ont.)
Oct 1, 2024
Lablab bean (Lablab purpureus L.), known for its higher protein content provides a promising alternative to reduce reliance on animal-based proteins and support sustainable agriculture. Nowadays, traditional methods for nutritional profiling have bee...
Determination of soluble solids content in tomatoes with different nitrogen levels based on hyperspectral imaging technique.
Journal of food science
Aug 13, 2024
Tomato is sweet and sour with high nutritional value, and soluble solids content (SSC) is an important indicator of tomato flavor. Due to the different mechanisms of nitrogen uptake and assimilation in plants, exogenous supply of different forms of n...
Using VIS-NIR hyperspectral imaging and deep learning for non-destructive high-throughput quantification and visualization of nutrients in wheat grains.
Food chemistry
Jul 29, 2024
High-throughput and low-cost quantification of the nutrient content in crop grains is crucial for food processing and nutritional research. However, traditional methods are time-consuming and destructive. A high-throughput and low-cost method of quan...
Can the AI tools ChatGPT and Bard generate energy, macro- and micro-nutrient sufficient meal plans for different dietary patterns?
Nutrition research (New York, N.Y.)
Jul 14, 2024
Artificial intelligence chatbots based on large language models have recently emerged as an alternative to traditional online searches and are also entering the nutrition space. In this study, we wanted to investigate whether the artificial intellige...
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