MUMBAI, India, April 20 -- Intellectual Property India has published a patent application (202421077052 A) filed by Tata Consultancy Services Limited, Maharashtra, on Oct. 10, 2024, for 'system and method for designing optimum modified atmosphere packaging.'
Inventor(s) include Sachania, Hitanshu Mitesh; Kapse, Shrikant Arjunrao; Kausley, Shankar Balajirao; and Rai, Beena.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "Modified Atmosphere Packaging (MAP) extends food shelf-life but is not customized for specific commodities and supply-chain conditions, leading to sub-optimal usage. The present disclosure utilizes physics-based models to simulate the system of MAP and generate data for shelf-life of the food commodity for various designs of MAP films stored in different environmental storage conditions. Further, this data is used to develop a hybrid recurrent neural network (RNN) and deep artificial neural network (ANN) model, which learns how the changes in storage conditions of temperature and relative humidity affect the shelf-life of the food commodity for different designs of MAP. Whereas optimization of multiple ordinary differential equations is time and compute resource intensive, the developed hybrid RNN-ANN model can be used as a surrogate which makes optimization significantly less resource intensive. A surrogate-assisted optimization model thus developed can be used to predict the optimum design of MAP for specific storage conditions."
Disclaimer: Curated by HT Syndication.
