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Applications of artificial intelligence and visual recognition for assessing quality of agri-food industry products

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Summary

Applications of artificial intelligence and visual recognition for assessing quality of agri-food industry products

S00230
Version: 1.8

  • arable farming
  • horticulture
  • food processing
  • test design
  • test setup
  • test execution
  • collection of test data
  • performance evaluation
  • provision of datasets
  • data augmentation
  • data analysis
  • certification
  • AI model training
  • software or AI model
  • data
  • Location: in Italy
  • Offered by: UNINA

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Description

The service specializes in leveraging artificial intelligence (AI) and visual recognition technology to empower agri-food industry stakeholders to achieve higher levels of quality assurance, consistency, and efficiency. Its AI-based quality assessment solutions help ensure that agri-food products meet industry standards, regulatory requirements, and consumer expectations. Identifying and flagging any deviations from quality standards, enables proactive quality control measures to be implemented, minimizing the risk of product recalls or rejections.