文献类型: 外文期刊
作者: Gu, Xiaohe 1 ; Cai, Wenqian 2 ; Fan, Youbo 1 ; Ma, Yue 2 ; Zhao, Xiaoyan 2 ; Zhang, Chao 1 ;
作者机构: 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Beijing Key Lab Fruits & Vegetable Storage & Proc, Key Lab Vegetable Postharvest Proc, Beijing Vegetable Res Ctr,Minist Agr, Beijing, Peoples R China
3.Beijing Acad Agr & Forestry Sci, Beijing Key Lab Fruits & Vegetable Storage & Proc, Key Lab Vegetable Postharvest Proc, Beijing Vegetable Res Ctr,Minist Agr, Beijing, Peoples R Chin
关键词: anthocyanin content; hyperspectral model; pH differential method; purple corn; sensitive band
期刊名称:FOOD SCIENCE & NUTRITION ( 影响因子:2.863; 五年影响因子:3.141 )
ISSN: 2048-7177
年卷期: 2018 年 6 卷 3 期
页码:
收录情况: SCI
摘要: To date, the foliar anthocyanin content was either determined via the pH differential or HPLC methods, both of which are slow and destructive. Here, a hyperspectral model was established to estimate the foliar anthocyanin content of purple corn (Zea mays L. var. Jingzi No. 1). The reflectivity (P) of the foliar hyperspectral was inverted to 1/P, lg P, 1/lg P, (P)', (1/P)', (lg P)', and (1/lg P)'. The correlation coefficient between these inversions and the foliar anthocyanin content was plotted against the hyperspectral wavelength. The wavelength of inversions around 650 nm was sensitive to the foliar anthocyanin content. The hyperspectral model was fitted via linear, polynomial, power, exponential, and logarithmic functions with the sensitive band as independent variable and the anthocyanin content as function. The hyperspectral model ( y = 3,000,000,000 x W-685 (4.5896)) fitted via inversion of (lg P)' showed the highest determination coefficients (0.768) among all models. The hyperspectral model was well validated with a determination coefficient of 0.932 and an RMSE of 0.0065. Moreover, the accuracy and stability of the hyperspectral model were further enhanced with a determination coefficient of 0.954 and RMSE of 0.0047 when the anthocyanin content of the sample was below 20 mg/g. Hence, the hyperspectral model estimated the foliar anthocyanin content of purple corn quickly and nondestructively.
- 相关文献
作者其他论文 更多>>
-
Recognition of maize seedling under weed disturbance using improved YOLOv5 algorithm
作者:Tang, Boyi;Zhao, Chunjiang;Tang, Boyi;Zhou, Jingping;Pan, Yuchun;Qu, Xuzhou;Cui, Yanglin;Liu, Chang;Li, Xuguang;Zhao, Chunjiang;Gu, Xiaohe;Li, Xuguang
关键词:Object detection; Maize seedlings; UAV RGB images; YOLOv5; Attention mechanism
-
Effect of hot-air drying processing on the volatile organic compounds and maillard precursors of Dictyophora Rubrovalvata based on GC-IMS, HPLC and LC-MS
作者:Meng, Lingshuai;Nie, Yu;Zheng, Tingting;Chen, Haijiang;Lin, Dong;Cao, Sen;Xu, Su;Zhou, Qingsong;Song, Jianxin;Zhang, Chao;Meng, Lingshuai;Nie, Yu;Zheng, Tingting;Chen, Haijiang;Lin, Dong;Xu, Su
关键词:Dictyophora rubrovalvata; Hot air drying; Maillard reaction; Precursor substances; Key aroma substances; GC-IMS
-
A Novel Approach for Maize Straw Type Recognition Based on UAV Imagery Integrating Height, Shape, and Spectral Information
作者:Liu, Xin;Gong, Huili;Guo, Lin;Zhou, Jingping;Gong, Huili;Guo, Lin;Gong, Huili;Guo, Lin;Gong, Huili;Guo, Lin;Gong, Huili;Guo, Lin;Gu, Xiaohe;Zhou, Jingping
关键词:maize straw type; multispectral imagery; SESI; object-oriented classification; UAV
-
Monitoring the interannual dynamic changes of soil organic matter using long-term Landsat images
作者:Liu, Chang;Liu, Chang;Zhang, Chi;Chen, Wentao;Qu, Xuzhou;Tang, Boyi;Ma, Kai;Gu, Xiaohe;Sun, Qian
关键词:Soil organic matter; Remote sensing; Machine learning; Transfer learning; Spatial-temporal change
-
Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed
作者:Tang, Boyi;Zhou, Jingping;Zhao, Chunjiang;Pan, Yuchun;Lu, Yao;Liu, Chang;Ma, Kai;Sun, Xuguang;Gu, Xiaohe;Tang, Boyi;Zhou, Jingping;Zhang, Ruifang
关键词:Object detection; Maize seedlings; Weed disturbance; YOLO; UAV multispectral images
-
Evaluation of the nutritional, in vitro protein digestive and bioactive characteristics of a quinoa-based protein beverage
作者:Li, Mengzhuo;Li, Mengzhuo;Wang, Junjuan;Zhao, Xiaoyan;Wang, Dan;Zhao, Yuanyan;Ge, Zhiwen;Qin, Peiyou;Zhu, Manli;Zhang, Lizhen;Zou, Liang;Qin, Peiyou
关键词:Quinoa; Plant-based protein beverage; Amino acid score; In vitro protein digestibility; Antioxidant activity; ACE inhibitory activity
-
Improvement in the aroma of watermelon juice by vacuum blending with linoleic acid addition
作者:Wang, Bingsu;Zhang, Huijuan;Wang, Wenxiang;Zhou, Jiahua;Zhang, Chao;Zhang, Huijuan
关键词:Vacuum blending; Linoleic acid; Watermelon juice; Aroma; Volatile organic compounds; (2)-Z-Nonenal



