Modelling Techniques to Improve the Quality of Food Using Artificial Intelligence
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....
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Food Quality |
| Online Access: | http://dx.doi.org/10.1155/2021/2140010 |
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| _version_ | 1849411953935515648 |
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| author | Varsha Sahni Sandeep Srivastava Rijwan Khan |
| author_facet | Varsha Sahni Sandeep Srivastava Rijwan Khan |
| author_sort | Varsha Sahni |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-65274fa36e0a42928fb15325fc5c05ea |
| institution | Kabale University |
| issn | 0146-9428 1745-4557 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Food Quality |
| spelling | doaj-art-65274fa36e0a42928fb15325fc5c05ea2025-08-20T03:34:36ZengWileyJournal of Food Quality0146-94281745-45572021-01-01202110.1155/2021/21400102140010Modelling Techniques to Improve the Quality of Food Using Artificial IntelligenceVarsha Sahni0Sandeep Srivastava1Rijwan Khan2Department of Computer Science and Engineering, CT Institute of Engineering, Management and Technology, Shahpur, Jalandhar 144020, Punjab, IndiaMCA Department, GL Bajaj Institute of Technology & Management, Greater Noida 201306, IndiaDepartment of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad 201009, IndiaArtificial 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.http://dx.doi.org/10.1155/2021/2140010 |
| spellingShingle | Varsha Sahni Sandeep Srivastava Rijwan Khan Modelling Techniques to Improve the Quality of Food Using Artificial Intelligence Journal of Food Quality |
| title | Modelling Techniques to Improve the Quality of Food Using Artificial Intelligence |
| title_full | Modelling Techniques to Improve the Quality of Food Using Artificial Intelligence |
| title_fullStr | Modelling Techniques to Improve the Quality of Food Using Artificial Intelligence |
| title_full_unstemmed | Modelling Techniques to Improve the Quality of Food Using Artificial Intelligence |
| title_short | Modelling Techniques to Improve the Quality of Food Using Artificial Intelligence |
| title_sort | modelling techniques to improve the quality of food using artificial intelligence |
| url | http://dx.doi.org/10.1155/2021/2140010 |
| work_keys_str_mv | AT varshasahni modellingtechniquestoimprovethequalityoffoodusingartificialintelligence AT sandeepsrivastava modellingtechniquestoimprovethequalityoffoodusingartificialintelligence AT rijwankhan modellingtechniquestoimprovethequalityoffoodusingartificialintelligence |