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浏览/检索结果: 共7条，第1-7条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 Accurate and nondestructive detection of apple brix and acidity based on visible and near-infrared spectroscopy 期刊论文 APPLIED OPTICS, 2021, 卷号: 60 作者:  Zhang, Yunqi;  Chen, Yong;  Wu, Yun;  Cui, Chaoyuan 收藏  |  浏览/下载：48/0  |  提交时间：2021/06/15 Quantitative analysis of volatile organic compound using novel chemoselective response dye based on Vis-NIRS coupled Si-PLS 期刊论文 MICROCHEMICAL JOURNAL, 2019, 卷号: 145, 页码: 1119-1128 作者:  Lin, Hao[1];  Duan, Yaxian[2];  Yan, Song[3];  Wang, Zhuo[4];  Zareef, Muhammad[5] 收藏  |  浏览/下载：13/0  |  提交时间：2019/12/24 VOCs content  Chemoselective response dye  Vis-NIRS  Si-PLS  Predictive model   Quantitative analysis of volatile organic compound using novel chemoselective response dye based on Vis-NIRS coupled Si-PLS 会议论文 MICROCHEMICAL JOURNAL, 2019-03-01 作者:  Lin, Hao[1];  Duan, Yaxian[2];  Yan, Song[3];  Wang, Zhuo[4];  Zareef, Muhammad[5] 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/24 VOCs content  Chemoselective response dye  Vis-NIRS  Si-PLS  Predictive model   Study on Quality Identification of Macadamia nut Based on Convolutional Neural Networks and Spectral Features 期刊论文 SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 卷号: 38, 期号: 5, 页码: 1514-1519 作者:  Du Jian;  Hu Bing-liang;  Liu Yong-zheng;  Wei Cui-yu;  Zhang Geng 收藏  |  浏览/下载：90/0  |  提交时间：2018/06/11 Vis-nirs  Macadamia Nut  Deep Learning  Convolutional Neural Network (Cnn)  Quality Identification   Non-destructive assessment of final color and pH attributes of broiler breast fillets using visible and near-infrared hyperspectral imaging: A preliminary study 期刊论文 INFRARED PHYSICS & TECHNOLOGY, 2018, 卷号: 92, 页码: 309-317 作者:  Li, YF;  Lu, CJ;  Li, N;  Li YF(李玉锋);  Jiang, HZ 收藏  |  浏览/下载：16/0  |  提交时间：2019/09/24 Hyperspectral imaging  Broiler breast fillet  Final quality attribute  Deboning time  PLSR   土壤碱解氮含量可见/近红外光谱预测模型优化 期刊论文 发光学报, 2018, 卷号: 039 作者:  汪六三;  鲁翠萍;  王儒敬;  黄伟;  郭红燕 收藏  |  浏览/下载：4/0  |  提交时间：2020/11/23 土壤  可见/近红外光谱  碱解氮  光谱预处理  波长筛选   IMPROVEMENTS OF THE VIS-NIRS MODEL IN THE PREDICTION OF SOIL ORGANIC MATTER CONTENT USING SPECTRAL PRETREATMENTS, SAMPLE SELECTION, AND WAVELENGTH OPTIMIZATION 期刊论文 JOURNAL OF APPLIED SPECTROSCOPY, 2017, 卷号: 84, 期号: 3, 页码: 529-534 作者:  Lin, Z. D.;  Wang, Y. B.;  Wang, R. J.;  Wang, L. S.;  Lu, C. P. 收藏  |  浏览/下载：16/0  |  提交时间：2018/08/16 Vis-nir Spectroscopy  Organic Matter Content  Spectral Pretreatment  Sample Selection  Wavelength Optimization