The food processing industry is presently experiencing a data
revolution, and sieving and separation processes are no exception. Sieving,
also known as screening, is a method of separating particles based on size.
It's a common process in food processing to refine and separate products like
flour, sugar, cocoa powder, and spices. It can also be used for grading
products into different sizes, like tea or coffee beans. While traditionally
reliant on mechanical adjustments and operator experience, sieving and
separation operations are now being transformed by the power of artificial
intelligence (AI). AI-driven sieving and separation systems are emerging as key
innovations that enhance efficiency, safety, and sustainability. This article
explores how these advancements are driving a new era of intelligent processing
in the food processing sector. It further studies the concept of sieving and
separation automation from the angle of artificial intelligence [AI] and tries
to study the hierarchical interrelationships amongst the various challenges
faced by food processing companies in implementing advanced sieving solutions
with the help of the VAXO technique embedded in ISM methodology.
Author(s) Details
Kshitij Mohan Sharma
Multi Tech Engineering, New Delhi, India.
Remica Aggarwal
Multi Tech Engineering, New Delhi, India.
Please see the book here :- https://doi.org/10.9734/bpi/ccert/v1/6612
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