Journal of Advances in Developmental Research

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AI Based Nutrition Degradation Prediction System for Stored Food

Author(s) Mrs.P. Poojasree, P. Sai Nishitha, K. Harika, B. Nikhitha
Country India
Abstract Food storage is important for keeping food nutritious and safe. But if food is stored for too long, it can lose important nutrients becauseof things like temperature, humidity, and chemical changes. Most ways we check food quality now are after the fact and can't really tell us how much nutrition will be lost ahead of time. Recently,AIand machine learning have helped create smart systems that can predict things happening in farming and food supply,which makes farming and food systems more efficient and better for the environment [1]. This research proposes an AI Based Nutrition Degradation Prediction System for Stored Food, which utilizes machine learning algorithms to analyze factors such as storage duration, temperature, humidity, and food type to predict the decline in nutritional value over time. The system aims to provide accurate and real-time insights into food quality, helping users make informed decisions regarding food consumption and storage. Scientific studies have shown that food components, including proteins and allergens, are sensitive to storage conditions and may undergo structural and nutritional changes, emphasizing the need for predictive monitoring systems [3],[4].
Keywords Artificial Intelligence (AI), Machine Learning, Nutrition Degradation, Food Storage, Predictive Modeling, Food Quality Analysis, Sensor Data, Smart Food Monitoring, Data Analytics, Food Safety, Shelf-Life Prediction, Environmental Factors.
Field Engineering
Published In Volume 17, Issue 1, January-June 2026
Published On 2026-04-12
Cite This AI Based Nutrition Degradation Prediction System for Stored Food - Mrs.P. Poojasree, P. Sai Nishitha, K. Harika, B. Nikhitha - IJAIDR Volume 17, Issue 1, January-June 2026. DOI 10.71097/IJAIDR.v17.i1.1822
DOI https://doi.org/10.71097/IJAIDR.v17.i1.1822
Short DOI https://doi.org/hbxc42
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