Computational Intelligence and Machine Learning
Smart Food Innovation: Creating Hemp Seed Laddus with Rice Flour using IoT Integration
Authors: Vadita Pal and Kusum Lata
Publishing Date: 23-04-2025
ISBN: 978-81-975670-5-6
Abstract
This study focuses on the development of value-added rice flour laddus enriched with hemp seed, aiming to enhance their nutritional profile and sensory appeal. The research integrates the use of IoT technologies to optimize various stages of the product development process, including ingredient selection, formulation, and quality control. Employing IoT-enabled sensors and devices, real-time monitoring of ingredient quality and consistency was achieved, ensuring a precise balance of nutrients and taste. The laddus were evaluated for their nutritional content, including protein, fiber, minerals, and fat, and underwent sensory analysis to assess the texture, flavor, color, and overall acceptability. The integration of IoT in the development process not only facilitated data-driven adjustments to the recipe but also enabled efficient tracking of shelf-life and storage conditions. The findings demonstrate the potential of IoT in enhancing the production of functional foods, particularly in the context of addressing PEM in children. However clinical trials are limited by providing insight into the creation of nutritious and appealing food products that cater to health-conscious consumers.
Keywords
IoT, Healthcare monitoring system, Blockchain technology, Hemp seed.
Cite as
Vadita Pal and Kusum Lata, "Smart Food Innovation: Creating Hemp Seed Laddus with Rice Flour using IoT Integration", In: Sandeep Kumar and Kavita Sharma (eds), Computational Intelligence and Machine Learning, SCRS, India, 2025, pp. 35-44. https://doi.org/10.56155/978-81-975670-5-6-4