Multi-factor fusion models for soluble solid content detection in pear (Pyrus bretschneideri 'Ya') using Vis/NIR online half-transmittance technique
文献类型: 外文期刊
第一作者: Xia, Yu
作者: Xia, Yu;Fan, Shuxiang;Tian, Xi;Huang, Wenqian;Li, Jiangbo;Xia, Yu
作者机构:
关键词: Pear; Soluble solids content; Online detection; Parameter fusion; Quality assessment
期刊名称:INFRARED PHYSICS & TECHNOLOGY ( 影响因子:2.638; 五年影响因子:2.581 )
ISSN: 1350-4495
年卷期: 2020 年 110 卷
页码:
收录情况: SCI
摘要: Development of the online and nondestructive technologies for inspecting and grading the quality of fruit in the postharvest period can improve industry competitiveness and profitability. The effect of fruit temperature, diameter and weight on online evaluation system of soluble solids content (SSC) of 'Ya' pears using visible/near infrared (Vis/NIR) spectroscopy was studied. To establish calibration models, partial least square (PLS) regression and least squares-support vector machine (LS-SVM) were employed in 630-900 nm and two fruit orientations (stem-calyx axis vertical with stem upward (T1), stem-calyx axis horizontal with stem towards belt moving direction (T2)), respectively. After pretreatments of Savitzky-Golay smoothing (SGS), multiplicative scattering correction (MSC), standard normal variate (SNV), and competitive adaptive reweighted sampling (CARS) for effective wavelength (EWs) selection, models were optimized and compared to evaluate calibration strategies. 36 EWs using PLS (r(p) = 0.89, RMSEP = 0.56) with the consideration of diameter (T1) and 34 EWs using LS-SVM (r(p) = 0.90, RMSEP = 0.57) with the consideration of temperature and diameter (T2) were finally selected, respectively. The fusion information of temperature and diameter showed beneficial effect and the best prediction results based on the designed online Vis/NIR half-transmittance system after MSC and 7-SGS for SSC evaluation of pears using LS-SVM, which would be effective to simplify models and promote computing efficiency and further make this proposed nondestructive detection technique have the practical application.
分类号:
- 相关文献
作者其他论文 更多>>
-
High-affinity truncated aptamers for detection of Cronobacter spp with magnetic separation-assisted DNAzyme-driven 3D DNA walker
作者:Yang, Ningru;Ding, Ning;Qi, Shuo;Shang, Zixuan;Ma, Pengfei;Khan, Imran Mahmood;Wang, Zhouping;Xia, Yu;Khan, Imran Mahmood;Wang, Zhouping;Zhang, Yin;Zhang, Lili;Wang, Zhouping
关键词:Cronobacter spp.; Aptamer; Truncation; DNA walker; Au nanoparticles; Fluorescence detection
-
Navigation line extraction algorithm for corn spraying robot based on YOLOv8s-CornNet
作者:Guo, Peiliang;Diao, Zhihua;Ma, Shushuai;He, Zhendong;Zhao, Suna;Zhao, Chunjiang;Li, Jiangbo;Zhang, Ruirui;Yang, Ranbing;Zhang, Baohua
关键词:agricultural robotics; computer vision; deep learning; navigation line extraction; network lightweight
-
Online detection of lycopene content in the two cultivars of tomatoes by multi-point full transmission Vis-NIR spectroscopy
作者:Li, Sheng;Wang, Qingyan;Shi, Ruiyao;Li, Jiangbo;Li, Sheng;Yang, Xuhai;Zhang, Qian
关键词:Tomato quality; Nondestructive evaluation; Chemometrics; Least angle regression; Model optimization
-
Effective and food-grade detoxification of multiple mycotoxins using yeast expressed manganese peroxidases
作者:You, Yang;Qiu, Yangyu;Xu, Huidong;He, Rui;Wang, Zhouping;Xia, Yu;Zhang, Lili
关键词:Mycotoxins; Manganese peroxidase; Degradation; Pichia pastoris; Food-grade
-
Detection of Insect-Damaged Maize Seed Using Hyperspectral Imaging and Hybrid 1D-CNN-BiLSTM Model
作者:Wang, Zheli;Chen, Liping;Wang, Zheli;Fan, Shuxiang;An, Ting;Zhang, Chi;Chen, Liping;Huang, Wenqian
关键词:Maize seed; Insect infestation; Hyperspectral imaging; Deep learning; BiLSTM
-
A DNA walker-driven SERS-fluorescent dual-mode aptasensor based on optimized aptamers to detect Shigella flexneri
作者:He, Yifei;Wei, Jinxiang;Xia, Yu;Wang, Zhouping;He, Yifei;Wei, Jinxiang;Xia, Yu;Wang, Zhouping;He, Yifei;Wei, Jinxiang;Xia, Yu;Wang, Zhouping;Zhang, Lili;Wang, Zhouping;Wang, Zhouping;Yang, Junsong;Wang, Zhouping
关键词:Foodborne pathogen; Aptasensor; SERS; Fluorescence; DNA walker
-
Non-destructive detection of single corn seed vigor based on visible/ near-infrared spatially resolved spectroscopy combined with chemometrics
作者:Liu, Wenxi;Luo, Bin;Kang, Kai;Zhang, Han;Liu, Wenxi;Xia, Yu
关键词:Seed vigor; Visible-near infrared; Spatially resolved technique; Spectral ratio method; Single kernel corn