Adaptability Analysis of Strawberry Cultivar and Harvest Time to the Predictive Model for Fruit Decay Index

Abstract

Abstract: In this study, a universal predictive model for decay index based on ethanol content in strawberry was proposed. Based on this universal model, a separate predictive model for strawberry cultivars Fengxiang and Hongyan harvested at two different time points was developed and validated. The analysis of variance of the model parameters (slopes and intercepts) of different predictive models showed a significant difference between both cultivars but no significant difference between both harvest time points for the same cultivar, suggesting that the predictive models were affected by cultivar rather than harvest time. The relative errors of these four predictive models observed when validated using independent experimental data were 8.82%, 4.72%, 14.64% and 10.35%, respectively, indicating high prediction accuracy. Thus, different strawberry cultivars and different harvest times had high adaptability to the predictive models. In conclusion, predictive modeling can provide a theoretical basis for non-destructive real-time measurement of fruit quality using gas sensor array.

Key words: strawberry, decay index, ethanol content, model parameters

CLC Number:

References

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