Modelling Techniques to Improve the Quality of Food Using Artificial Intelligence

TLDR

Artificial intelligence is rapidly transforming food handling and quality assurance, with the market projected to grow at a 28.64 % CAGR from 2018 to 2023, enabling computers to process data and perform tasks with higher accuracy and efficiency, thereby improving sanitation and quality. The study offers policymakers a framework to assess new and existing strategies and to strengthen food supply chains through executive practices and strategic choices. The survey examines AI applications across the four pillars of food security—accessibility, availability, utilization, and resilience.

Abstract

Artificial intelligence (AI), or AI/machine vision, is assuming an overwhelming part in the realm of food handling and quality affirmation. As indicated by Mordor Intelligence, AI in the food and refreshments market is required to enlist a CAGR of 28.64%, during the conjecture time frame 2018–2023. Artificial intelligence makes it workable for PCs to gain as a matter of fact, investigate information from the two data sources and yields, and perform most human assignments with an improved level of accuracy and proficiency. Here is a concise gander at how AI is expanding sanitation and quality activities. This exploration has along these lines tried to furnish policymakers with a way to assess new and existing strategies, while likewise offering a reasonable premise through which food chains orders can be made stronger through the thought of the executive’s practices and strategy choices. This survey centers on the AI applications according to four mainstays of food security that is food accessibility, food availability, food use, and strength.