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Vol. 12, Issue 5 (2023)

Predictive modelling approaches in food processing: Future research strategies

Author(s):
Amandeep Sharma, Ruplal Choudhary, Prachi Pahariya and Digvijay Verma
Abstract:
Artificial neural network (ANN) technique is not very old as the application of this technique in the field of food engineering is only started in the late 1900’s. Till date researchers only focused on validating the technology for decision-making using various technologies such as image processing, spectroscopy, and using physico-chemical properties of the commodity under study. The surge in the application of ANN is very recent as reported in the literature 2015-2020. The current decade is considered as the decade of industrial revolution 4.0 where ANN can play a major role in enhancing the efficiencies of various food processing operations. The available literature also highlights the non-availability of qualified graduates in the area of food processing thereby enhancing the need to develop new processes based on ANN for quick decision-making in the real-time scenario. This review paper presents a new way to apply the ANN for its application in the field of food processing.
Pages: 4206-4214  |  222 Views  136 Downloads


The Pharma Innovation Journal
How to cite this article:
Amandeep Sharma, Ruplal Choudhary, Prachi Pahariya, Digvijay Verma. Predictive modelling approaches in food processing: Future research strategies. Pharma Innovation 2023;12(5):4206-4214.

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