Research on maturity recognition of fresh tobacco leaf bundles in baking chambers based on machine vision
The identification of tobacco leaf maturity is one of the key links to produce high-quality tobacco leaves,and also directly affects the curing quality of subsequent tobacco leaves.Based on machine vision method and StackingClassifier integrated learning strategy,the maturity discrimination model of fresh tobacco leaves was established,and the maturity level of two batches of fresh tobacco leaves was determined by external test samples.The results showed that the accuracy of the model was above 94%in two batches of samples.The average absolute error between the predicted proportion and the real proportion was 6%.This method realized the prediction of the maturity of bulk tobacco leaves and provide a reference for the accurate control of the maturity of tobacco leaves in baking chambers.
NETL
NSTL
万方数据
