可见-近红外高光谱成像技术对灵武长枣VC含量的无损检测方法OA北大核心CSCDCSTPCD
Non-Destructive Detection of Vitamin C Content in "Lingwu Changzao" Jujubes (Zizyphus jujuba Mill.cv.Lingwu Changzao) Using Visible Near Infrared Hyperspectral Imaging
为探究基于高光谱成像技术预测灵武长枣VC含量的可行性并寻找最佳预测模型.采集100个长枣样本在波长400～1 000 nm处的高光谱图像,对光谱数据进行预处理;应用遗传算法(genetic algorithm,GA)、连续投影算法(successive projection algorithm,SPA)和竞争性正自适应加权(competitive adaptive reweighted sampling,CARS)算法对原始光谱数据提取特征波长;…查看全部>>
This study aimed to explore the feasibility of predicting the vitamin C (VC) content in "Lingwu Changzao" jujubes using hyperspectral imaging and to frnd the best prediction model.Hyperspectral images of 100 jujube samples were collected in the wavelength range of 400 to 1 000 rim.Genetic algorithm (GA),successive projection algorithm (SPA) and competitive adaptive reweighted sampling (CARS) algorithm were used to extract the characteristic wavelengths from …查看全部>>
何嘉琳;乔春燕;李冬冬;张海红;邓鸿;单启梅;高坤;马瑞
宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021
轻工纺织
灵武长枣VC可见-近红外高光谱成像无损检测
"Lingwu Changzao" jujubesVCvisible near infrared hyperspectral imagingnon-destructive testing
《食品科学》 2018 (6)
194-199,6
国家自然科学基金地区科学基金项目(31160346)大学生创新创业训练计划项目(201610749020):宁夏回族自治区“十三五”优势特色学科建设项目
评论