Application Research of Machine Learning in Fruit and Vegetable Grading Production
Standardization of fruits and vegetables enhances product value.Machine learning shows promising applications in fruit and vegetable grading production.Through computer vision,visible/near-infrared spectroscopy,and electronic nose technologies,rapid and non-destructive quality inspection of fruits and vegetables is achieved.This paper introduces the application of different machine learning algorithms in various grading domains of fruits and vegetables,describes their detection principles and accuracy in representative produce,provides feasible methods to improve algorithm accuracy with existing datasets,identifies current challenges in applying machine learning in production,and offers new insights for utilizing machine learning in fruit and vegetable grading production.
machine learningfruit and vegetable gradingproduction
NETL
NSTL
万方数据
维普
