Optimization and comparison of models for prediction of soluble solids content in apple by online Vis/NIR transmission coupled with diameter correction method
文献类型: 外文期刊
作者: Xia, Yu 1 ; Fan, Shuxiang 2 ; Li, Jiangbo 2 ; Tian, Xi 2 ; Huang, Wenqian 2 ; Chen, Liping 1 ;
作者机构: 1.Northwest A&F Univ, Coll Mech & Elect Engn, Yangling 712100, Shaanxi, Peoples R China
2.Beijing Res Ctr Intelligent Equipment Agr, 11 Shuguang Huayuan Rd M, Beijing 100097, Peoples R China
3.Natl Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China
4.Minist Agr, Key Lab Agriinformat, Beijing 100097, Peoples R China
5.Beijing Key Lab Intelligent Equipment Technol Agr, Beijing 100097, Peoples R China
关键词: Apple; Soluble solids content; Diameter correction method; Online detection; Fruit orientation
期刊名称:CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS ( 影响因子:3.491; 五年影响因子:3.839 )
ISSN: 0169-7439
年卷期: 2020 年 201 卷
页码:
收录情况: SCI
摘要: The online system can achieve high efficiency towards fruit quality determination in postharvest period. Thus, developing online and nondestructive technology for inspecting and grading fruit is meaningful and profitable in the existing robotic sorting systems. In this study, the effect of fruit diameter differences on online prediction of soluble solids content (SSC) of 'Fuji' apples based on visible and near-infrared (Vis/NIR) spectroscopy was studied. Partial least square (PLS) regression was employed to establish calibration models based on three wavelength regions (675-1025, 710-980, 750-1025 nm) and two fruit orientations (stem-calyx axis vertical with stem upward (T1) and stem-calyx axis horizontal with stem towards light source (T2)), respectively. A novel diameter correction method was proposed to reduce the effect of fruit diameter differences on original spectra. Combined with pretreatment and effective wavelength (EWs) selection methods, models were optimized and compared to determine the best calibration strategy. Diffuse transmission spectra in 710-980 nm and diameter correction method with calculated attenuation coefficient were testified much better than other corresponding regions and correction methods, respectively. Baseline offset correction (BOC) and 7-point Savitzky-Golay smoothing (SGS) of pretreatments and competitive adaptive reweighted sampling (CARS) of EWs selection methods were proved to be outstanding among other methods. 59 and 63 EWs achieved the best detection accuracies with correlation coefficient of prediction (r(p)) and root mean square error of prediction (RMSEP) of 0.92 and 0.50 degrees Brix, 0.89 and 0.56 degrees Brix for T1 and T2, respectively. The overall results indicated that online Vis/NIR transmission spectra after BOC and 7-SGS with proposed diameter correction method can make the variation of fruit diameters a small interference for SSC determination, and CARS-PLS would be effective to simplify models and promote computing efficiency to make this nondestructive detection technique promisingly applied.
- 相关文献
作者其他论文 更多>>
-
Optimized Design of Robotic Arm for Tomato Branch Pruning in Greenhouses
作者:Ma, Yuhang;Chen, Liping;Feng, Qingchun;Sun, Yuhuan;Guo, Xin;Zhang, Wanhao;Wang, Bowen;Chen, Liping;Feng, Qingchun;Guo, Xin;Chen, Liping
关键词:agricultural robot; tomato pruning; manipulator; structural optimization
-
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
-
Review of the detasseling techniques for maize ( Zea mays L.) hybrid seed production
作者:Zhang, Ruirui;Yang, Jiaxuan;Chen, Liping;Ding, Chenchen;Li, Longlong;Zhang, Linhuan;Zhang, Ruirui;Yang, Jiaxuan;Chen, Liping;Ding, Chenchen;Li, Longlong;Zhang, Linhuan;Zhang, Ruirui;Yang, Jiaxuan;Chen, Liping;Ding, Chenchen;Li, Longlong;Zhang, Linhuan
关键词:detasseling technique; detasseling machine; UAVs; intelligent agriculture; maize hybrid seed production
-
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
-
Effect of Polymer Adjuvant Type and Concentration on Atomization Characteristics of Nozzle
作者:Hu, Peng;Zhang, Ruirui;Yang, Jiajun;Chen, Liping;Li, Longlong;Tang, Qing;Yan, Wenlong;Yang, Jiajun
关键词:polymer adjuvant; atomization; nozzle; PDI
-
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
-
YOLOv5s-CEDB: A robust and efficiency Camellia oleifera fruit detection algorithm in complex natural scenes
作者:Zhu, Aobin;Chen, Liping;Zhu, Aobin;Zhang, Ruirui;Zhang, Linhuan;Yi, Tongchuan;Wang, Liwan;Zhang, Danzhu;Chen, Liping;Zhu, Aobin;Zhang, Ruirui;Zhang, Linhuan;Yi, Tongchuan;Wang, Liwan;Zhang, Danzhu;Chen, Liping;Zhu, Aobin;Zhang, Ruirui;Zhang, Linhuan;Yi, Tongchuan;Wang, Liwan;Zhang, Danzhu;Chen, Liping;Zhu, Aobin;Zhang, Ruirui;Zhang, Linhuan;Yi, Tongchuan;Wang, Liwan;Zhang, Danzhu;Chen, Liping
关键词:Camellia oleifera fruit; Natural scenes; Object detection; YOLOv5s



