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What is Food Quality Inspection Framework about?

This paper presents a framework for automatic classification of food products using computer vision and inductive characterization, addressing the need for efficient quality inspection in the food industry. The framework has been applied to three significant food items: Hass Avocado, Manila Mango, and Corn Tortillas, demonstrating competitive results with reduced feature sets compared to existing systems. The study emphasizes the importance of careful feature selection to enhance the classification process

Author

015 Bharanishree V

Language

EN