Research on Apple Freshness Inspection System based on Nuclear Magnetic Resonance Data Extraction Technology

Based on the nuclear magnetic resonance data extraction technology, this paper analyzes the changes in the flavor characteristics and moisture status of the apples during storage, and explores the correlation between related qualities. On this basis, nuclear magnetic resonance is used to construct a fruit and vegetable freshness and related quality detection model based on electronic nose and low-field nuclear magnetic resonance, and the applicability of the model is evaluated. The imaging model is designed and applied to the analysis of the collected data. The inspection system is implemented through the intelligent model. Correlation analysis results show that there are significant or extremely significant correlations between the sensory scores, quality indicators, flavor characteristics and moisture status of apple during storage. The proposed model is simulated under the real data sets to validate the performance.