丛孙丽 刘晨 鹿存莉

摘要 [目的]为了快速、精确检测贮藏大米中的霉菌菌落总数，拟用高光谱图像技术实现无损检测。[方法]采用SG-SNV detrending的方式对原始光谱数据预处理，去除基线散射，平滑光谱曲线;然后分别利用SPA算法和CARS算法选取反映大米霉菌菌落总数特性的特征波长组合，最后采用SVR方法分别在全光谱数据和2种特征光谱数据的基础上建立预测模型，对比分析各SVR模型的预测效果。[结果]基于CARS特征选择的模型（CARS-SVR）预测效果优于基于全光谱数据的SVR模型和基于SPA特征选择的模型（SPA-SVR），其预测集决定系数（R2p）为0.875 9、均方根误差（RMSEP）为0.083 5。由于CARS-SVR模型的预测效果尚未达到农产品检测的精度要求，故引入GWO算法对SVR模型中的参数（c和g）寻优，优化后模型（CARS-GWO-SVR）的训练集和测试集决定系数（R2c和R2p）分别达0.962 1和0.951 1。[结论]利用高光谱技术对贮藏大米中的霉菌菌落总数实施无损检测具有可行性，可为其他农产品的霉菌检测提供参考依据。

关键词 高光谱;贮藏大米;霉菌菌落数;灰狼优化;支持向量回归

中图分类号 S379  文献标识码 A

文章编号 0517-6611（2020）19-0211-04

doi：10.3969/j.issn.0517-6611.2020.19.055

Abstract [Objective]In order to quickly and accurately detect the total number of mold colonies in stored rice， hyperspectral image technology was proposed to achieve nondestructive detection.[Method]The original spectral data was preprocessed through the method of SGSNV detrending for purpose of removing the baseline scattering and smoothing spectral curves. Then the combination of feature wavelengths reflecting the mold characteristics was selected by SPA and CARS， respectively. On the basis of feature data and full spectral data， the prediction models of mold colonies in stored rice samples were established through SVR method， and the prediction results of models would be compared and analyzed.[Result]The effect of CARSSVR model was better than that of SVR model and SPASVR model. The  R2p and RMSEP of prediction set was 0.875 9 and 0.083 5. In order to improve the accuracy of CARSSVR model， GWO algorithm was adopted to optimize c and g parameters in model， after that， the R2c and R2p were improved to 0.962 1 and 0.951 1. [Conclusion]Hyperspectral imaging technology is feasible for nondestructive detection of the total number of mold colonies in stored rice， providing a promising tool for mold detection of other agricultural products.

Key words Hyperspectral;Stored rice;Mold colonies;GWO;SVR

基金項目 国家自然科学基金项目（31471413）;无锡市软科学课题（201913571004Z）。

作者简介 丛孙丽（1993—），女，江苏南通人，助教，硕士，从事计算机技术在农业工程方面的应用研究。

收稿日期 2020-04-08

大米作为人们重要的主食之一，营养较为丰富，若贮藏不当易发生霉变。大米发生霉变开始产生霉菌，严重程度下甚至进而产生真菌毒素，霉菌和真菌毒素直接影响大米的品质、人们的食用安全，造成健康隐患[1]。……