Revolutionizing Food Quality With Machine Vision and Machine Learning Techniques DOI
MOHAMMED AL RASHED,

Shaimaa Fakhry,

Radwa Satour

и другие.

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 71 - 124

Опубликована: Фев. 13, 2025

Ensuring food quality and safety is a complex multi-layered issue that must take into account all stages of processing, from cultivation harvesting to storage, transportation, consumption. The application machine learning in the industry can significantly improve work efficiency ensure safety. In addition traditional assessment applications, deep techniques are also being used for more tasks such as detecting defects, foreign objects, freshness. This chapter discusses various applications vision technology conjunction with sector, image recognition, classification, control, chain. addition, several challenges related cost obtaining annotating datasets discussed. Furthermore, future research needs discussed further investigate how scope datasets, optimise robustness interpretability different models systems.

Язык: Английский

Revolutionizing Food Quality With Machine Vision and Machine Learning Techniques DOI
MOHAMMED AL RASHED,

Shaimaa Fakhry,

Radwa Satour

и другие.

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 71 - 124

Опубликована: Фев. 13, 2025

Ensuring food quality and safety is a complex multi-layered issue that must take into account all stages of processing, from cultivation harvesting to storage, transportation, consumption. The application machine learning in the industry can significantly improve work efficiency ensure safety. In addition traditional assessment applications, deep techniques are also being used for more tasks such as detecting defects, foreign objects, freshness. This chapter discusses various applications vision technology conjunction with sector, image recognition, classification, control, chain. addition, several challenges related cost obtaining annotating datasets discussed. Furthermore, future research needs discussed further investigate how scope datasets, optimise robustness interpretability different models systems.

Язык: Английский

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