Maturity is not only an important factor affecting the internal quality of the Nanguo pear, but also an important theoretical basis for grading online fruit. Based on the hyperspectral imaging technology, in this paper, backpropagation neural network and support vector machine models are established to identify Nanguo pear maturity by information fusion of spectral features and image features. The results show that the identification results of the support vector machine based on information fusion of spectral features and image features are the best, and the recognition rate is above 95%. Among them, the recognition rates of immature and mature samples reach 100%.

中文翻译：

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基于信息融合的南果梨成熟度识别

成熟度不仅是影响南果梨内部品质的重要因素，而且还是在线果品分级的重要理论依据。基于高光谱成像技术，建立了反向传播神经网络和支持向量机模型，通过光谱特征和图像特征的信息融合来识别南果梨的成熟度。结果表明，基于光谱特征和图像特征信息融合的支持向量机识别效果最好，识别率达到95％以上。其中，未成熟和成熟样品的识别率达到100％。