AI-Driven Shelf-Life Forecasting for Fresh Fruits and Vegetables Using  Temperature-Aware Deep Learning Model

Bathula Pravithra, Ch.Siddu Reddy, K.Kiran, N.Pavankumar, B.Thilothama Reddy, B.Prathikreddy

AI-Driven Shelf-Life Forecasting for Fresh Fruits and Vegetables Using Temperature-Aware Deep Learning Model

Authors

Bathula Pravithra, Ch.Siddu Reddy, K.Kiran, N.Pavankumar, B.Thilothama Reddy, B.Prathikreddy

Keywords:

Shelf-Life Prediction, Fresh Fruits and Vegetables, Deep Learning, Convolutional Neural Network, Temperature-Aware Model, Post-Harvest Loss Reduction, Food Supply Chain, Cold Chain Management, AI in Agriculture

Abstract

India is one of the largest producers of fruits and vegetables, contributing approximately 14% of globalproduction; however, nearly 30–40% of this produce is lost annually due to inefficient storage and transportation practices, resulting in economic losses of about ₹92,651 crores. Accurate shelf-lifeprediction is crucial for minimizing post-harvest

References

Omid, Mahmoud & Soltani Firouz, Mahmoud & Nouri-Ahmadabadi, Hosein & Mohtasebi, Seyed. (2017). Classification of peeled pistachio kernels using computer vision and color features. Journal of the Science of Food and Agriculture. 10. 259–265. 10.1016/j.eaef.2017.04.002.

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Published

2025-05-25

How to Cite

Bathula Pravithra, Ch.Siddu Reddy, K.Kiran, N.Pavankumar, B.Thilothama Reddy, B.Prathikreddy. (2025). AI-Driven Shelf-Life Forecasting for Fresh Fruits and Vegetables Using Temperature-Aware Deep Learning Model . Journal of Computational Analysis and Applications (JoCAAA), 34(5), 458–468. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4624