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Label-free detection of maize kernels aging based on Raman hyperspcectral imaging techinique

文献类型： 外文期刊

作者： Long, Yuan 1 ; Wang, Qingyan 2 ; Tang, Xiuying 1 ; Tian, Xi 2 ; Huang, Wenqian 2 ; Zhang, Bin 1 ;

作者机构： 1.China Agr Univ, Coll Engn, Beijing 100083, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Intelligent Equipment Res Ctr, Beijing 100097, Peoples R China

3.Natl Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

关键词： Raman hyperspectral imaging; Aging; Viability; Maize kernels; Nondestructive detection

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：6.757； 五年影响因子：6.817 ）

ISSN： 0168-1699

年卷期： 2022 年 200 卷

页码：

收录情况： SCI

摘要： The feasibility of Raman hperspectral imaging technique was explored to detect maize kernels aging during storage to eliminate its negative effects on maize sowing and storage. Both TTC test and germination test were employed to evaluate the viability of maize kernels and the anlysis based on pixel-level and object-level were conducted. Different variable selection algorithms were used for screening of key features related with viability and three modeling methods were performed to classify maize kernels viability. In addition, Whale Optimization Algorithm(WOA) optimization algorithm was brought in to improve the accuracy of viability classification. The results showed that object-level method was more suitable for the classification of maize kernels viability. The fusion SVM model optimized by WOA coupled with CARS and VCPA-IRIV algorithm achieved the satifactory performance. In general, Raman hperspectral imaging techinique could be used as a poweful alternative for the nondestructive detection of maize kernels aging.

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