Cigar harvesting maturity identification method and system based on ensemble learning
An integrated learning and recognition method technology, applied in the field of cigar harvest maturity recognition method and system, can solve problems such as difficulty in ensuring accuracy and efficiency, decline in tobacco leaf quality, impact, etc., to ensure extraction and utilization, and reduce training costs , Improve the effect of harvesting efficiency
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Embodiment 1
[0071] The invention provides a method for identifying the maturity of cigar harvesting based on integrated learning, which is mainly applied to the work of harvesting cigars in the field. like figure 1 As shown, the method includes: a cigar collection step; an image preprocessing step; a vectorization dimension reduction step; a feature dimension reduction step and a model identification step.
[0072] The specific implementation is as follows:
[0073] S1. Cigar collection step: collect cigar image data during the collection process, upload it to the cloud platform database through a transmission device, and form the original data set for model training.
[0074] S2. Image preprocessing step: using non-local average denoising algorithm, dark channel dehazing algorithm and image color correction algorithm to preprocess the collected cigar image to improve image quality.
[0075] The preprocessing steps for cigar smoke images are as follows:
[0076] S21 , denoising the cig...
Embodiment 2
[0113] According to an aspect of the specification of the present invention, a cigar harvest maturity identification system based on integrated learning is provided, including: an acquisition module for acquiring a cigar image; a preprocessing module for preprocessing the cigar image ;Vectorized dimensionality reduction module, used to perform vectorized dimensionality reduction on the preprocessed cigar image, and extract RGB and HSV eigenvalues to obtain a feature set; Feature dimensionality reduction module, used for infinite data in the feature set Generalize operation, and use Wrapper packaging algorithm to reduce the feature dimension of the data in the feature set to obtain the initial data set of the cigar image to be tested; the model recognition module is used to input the initial data set into the trained random forest model, A ripeness identification result of the cigar image is output.
[0114] Further, the system further includes a data cleaning module, which p...
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