Modelling Techniques to Improve the Quality of Food Using Artificial Intelligence

Journal of Food Quality - Tập 2021 - Trang 1-10 - 2021
Varsha Sahni1, Sandeep Srivastava2, Rijwan Khan3
1Department of Computer Science and Engineering, CT Institute of Engineering, Management and Technology, Shahpur, Jalandhar 144020, Punjab, India
2MCA Department, GL Bajaj Institute of Technology & Management, Greater Noida 201306, India
3Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad 201009, India

Tóm tắt

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.

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