北京市农林科学院机构知识库

Recognition of wheat preharvest sprouting based on hyperspectral imaging

收藏
分享
全文链接

文献类型：外文期刊

作者： Wu, Qiong ¹ ; Zhu, Dazhou ² ; Wang, Cheng ² ; Ma, Zhihong ² ; Wang, Jihua ¹ ;

作者机构： 1.Jilin Univ, Sch Biol & Agr Engn, Changchun 130022, Peoples R China

2.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

关键词： hyperspectral imaging;preharvest sprouting;machine vision;wheat

期刊名称：OPTICAL ENGINEERING （影响因子：1.084；五年影响因子：1.098 ）

ISSN： 0091-3286

年卷期： 2012 年 51 卷 11 期

页码：

收录情况： SCI

摘要： An imaging spectrometer was used to acquire hyperspectral images of 120 strains of wheat ears and seeds under four different watering treatments. Whether wheat preharvest sprouting occurred could be reflected by spectral characteristics. Therefore, it was possible to judge whether wheat ears sprouted according to changes of spectral curve at 675 nm. According to principal component analysis of mean spectral reflectivity values of wheat seeds, it was found that wheat seeds watered three times every day and wheat seeds watered once every day were significantly different from nonsprouting wheat seeds soaked all day and original dry seeds due to significant sprouting situations, suggesting that imaging spectra can differentiate different extent of wheat preharvest sprouting. Glume had an influence on the hyperspectral images of wheat ears, therefore the hyperspectral images of wheat ears could be used to measure sprouting only when serious sprouting occurred. At an early stage of sprouting, only the hyperspectral images of wheat seeds could be used to analyze the sprouting of wheat. (C) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.OE.51.11.111710]

相关文献

[1]Machine vision technology for detecting the external defects of fruits - a review. Li, J. B.,Huang, W. Q.,Zhao, C. J.. 2015

[2]Identification of Wheat Cultivars Based on the Hyperspectral Image of Single Seed. Zhu, Dazhou,Wang, Cheng,Wu, Qiong,Zhao, Chunjiang,Pang, Binshuang,Shan, Fuhua. 2012

[3]Design and Test of Tomatoes Harvesting Robot. Feng, Qingchun,Wang, Xiaonan,Wang, Guohua,Li, Zhen. 2015

[4]Monitoring of Winter Wheat Aboveground Fresh Biomass Based on Multi-Information Fusion Technology. Zheng Ling,Dong Da-ming,Zhang Bao-hua,Wang Cheng,Zhao Chun-jiang,Zheng Ling,Zhu Da-zhou. 2016

[5]Detection of defects on apple using B-spline lighting correction method. Li, Jiangbo,Huang, Wenqian,Guo, Zhiming. 2013

[6]Developing a machine vision system for simultaneous prediction of freshness indicators based on tilapia (Oreochromis niloticus) pupil and gill color during storage at 4 degrees C. Shi, Ce,Qian, Jianping,Han, Shuai,Fan, Beilei,Yang, Xinting,Wu, Xiaoming,Shi, Ce,Qian, Jianping,Han, Shuai,Fan, Beilei,Yang, Xinting,Wu, Xiaoming,Shi, Ce,Qian, Jianping,Han, Shuai,Fan, Beilei,Yang, Xinting,Wu, Xiaoming. 2018

[7]Segmentation of Cotton Leaves Based on Improved Watershed Algorithm. Niu, Chong,Niu, Yuguang,Niu, Chong,Li, Han,Zheng, Wengang,Niu, Chong,Li, Han,Zheng, Wengang,Zhou, Zengchan,Bu, Yunlong. 2016

[8]Design and test of tray-seedling sorting transplanter. Feng Qingchun,Zhao Chunjiang,Jiang Kai,Fan Pengfei,Wang Xiu. 2015

[9]Automatic detection of defective apples using NIR coded structured light and fast lightness correction. Zhang, Chi,Zhao, Chunjiang,Huang, Wenqian,Wang, Qingyan,Liu, Shenggen,Li, Jiangbo,Guo, Zhiming.

[10]HYPERSPECTRAL IMAGE FOR DISCRIMINATING APHID AND APHID DAMAGE REGION OF WINTER WHEAT LEAF. Luo Juhua,Huang Wenjiang,Guan Qingsong,Zhao Jinling,Zhang Jingcheng. 2013

[11]Characteristics of K Nutrient Input/Output and Its Balance for Wheat Season in China. Limin Chuan,Huaiguo Zheng,Cuiping Tan,Sufen Sun,Junfeng Zhang. 2014

[12]Identification of seedling cabbages and weeds using hyperspectral imaging. Wei, Deng,Zhao Chunjiang,Xiu, Wang,Huang, Yanbo,Wei, Deng,Zhao Chunjiang,Xiu, Wang,Wei, Deng,Zhao Chunjiang,Xiu, Wang,Wei, Deng,Zhao Chunjiang,Xiu, Wang. 2015

[13]Effectively Predicting Soluble Solids Content in Apple Based on Hyperspectral Imaging. Huang Wen-qian,Li Jiang-bo,Chen Li-ping,Guo Zhi-ming. 2013

[14]Comparative analysis of models for robust and accurate evaluation of soluble solids content in 'Pinggu' peaches by hyperspectral imaging. Chen, Liping. 2017

[15]Detection of Wheat Powdery Mildew by Differentiating Background Factors using Hyperspectral Imaging. Zhang, Dongyan,Zhang, Lifu,Zhang, Dongyan,Wang, Xiu,Zhang, Dongyan,Wang, Xiu,Lin, Fenfang,Huang, Yanbo. 2016

[16]Rapid determination of biogenic amines in cooked beef using hyperspectral imaging with sparse representation algorithm. Yang, Dong,Lu, Anxiang,Wang, Jihua,Yang, Dong,Wang, Jihua,Lu, Anxiang,Ren, Dong,Wang, Jihua,Lu, Anxiang,Wang, Jihua. 2017

[17]Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review. Zhang, Baohua,Huang, Wenqian,Li, Jiangbo,Zhao, Chunjiang,Fan, Shuxiang,Wu, Jitao,Zhang, Baohua,Zhao, Chunjiang,Liu, Chengliang. 2014

[18]Measuring the Moisture Content in Maize Kernel Based on Hyperspctral Image of Embryo Region. Tian Xi,Huang Wen-qian,Li Jiang-bo,Fan Shu-xiang,Zhang Bao-hua,Tian Xi,Huang Wen-qian,Li Jiang-bo,Fan Shu-xiang,Zhang Bao-hua,Tian Xi,Huang Wen-qian,Li Jiang-bo,Fan Shu-xiang,Zhang Bao-hua,Tian Xi,Huang Wen-qian,Li Jiang-bo,Fan Shu-xiang,Zhang Bao-hua. 2016

[19]Principles and Applications of Hyperspectral Imaging Technique in Quality and Safety Inspection of Fruits and Vegetables. Zhang Bao-hua,Zhang Bao-hua,Li Jiang-bo,Fan Shu-xiang,Huang Wen-qian,Zhang Chi,Wang Qing-yan,Xiao Guang-dong. 2014

[20]HYPERSPECTRAL IMAGE FOR DISCRIMINATING APHID AND APHID DAMAGE REGION OF WINTER WHEAT LEAF. Luo Juhua,Huang Wenjiang,Guan Qingsong,Zhao Jinling,Zhang Jingcheng. 2013

作者其他论文更多>>

Data fusion-driven hyperspectral imaging for non-destructive detection of single maize seed vigor

作者：Shi, Rui;Zhang, Han;Wang, Cheng;Zhou, Yanan;Kang, Kai;Luo, Bin;Shi, Rui;Wang, Cheng;Luo, Bin

关键词：Hyperspectral imaging; Maize seed; Vigor detection; Single; Data fusion
The giant genome of lily provides insights into the hybridization of cultivated lilies

作者：Liang, Yuwei;Gao, Qiang;Zhang, Liangsheng;Li, Fan;Duan, Qing;Li, Shenchong;Jin, Chunlian;Zhang, Peihua;Wang, Jihua;Li, Fan;Duan, Qing;Li, Shenchong;Jin, Chunlian;Zhang, Peihua;Wang, Jihua;Du, Yunpeng;Pan, Wenqiang;Zhang, Xiuhai;Zhang, Mingfang;Wu, Jian;Pan, Wenqiang;Wang, Shaokun;Song, Xiaoming;Zhong, Linlin;Zhang, Fan;Li, Yan;Wang, Zhiwei;Li, Danqing;Gu, Yang;Chen, Zhong-Hua;Chen, Zhong-Hua;Mayer, Klaus F. X.;Mayer, Klaus F. X.;Zhou, Xiaofan;Zhang, Liangsheng;Zhang, Liangsheng

关键词：
Calycosin, a Bioactive Isoflavone, Ameliorates Oxidative Stress and Inflammation in Lipopolysaccharide-Induced Intestinal Cell Damage Model via the Nrf2 and NF-κB Signaling Pathways

作者：Li, Lu;Che, Yuyan;Zhu, Longlong;Liu, Zeqing;Song, Yanchen;Chen, Meixia;Wang, Jing;Li, Lu;Che, Yuyan;Song, Yanchen;Zhu, Longlong;Liu, Zeqing;Wu, Qiong;Chen, Meixia;Wang, Jing

关键词：calycosin; cell damage; inflammation; LPS; NF-kappa B pathway; Nrf2 pathway; oxidative stress
Traditional and novel organophosphate esters in atmosphere of greenhouse covered with mulch films: Seasonal variations, partitioning and exposure risks

作者：Zhao, Fang;Tian, Sinuo;Liu, Jing;Wang, Yingjun;Ma, Zhihong;Ping, Hua;Li, Cheng;Zhao, Fang;Tian, Sinuo;Liu, Jing;Wang, Yingjun;Ma, Zhihong;Ping, Hua;Li, Cheng;Cui, Guanglu;Ha, Xuejiao

关键词：Organophosphate ester; Seasonal variation; Gas-particle partition; Soil-air exchange; Non-dietary risk
Detection of Strigolactone-Treated wheat seeds via Dual-View hyperspectral data fusion and deep learning

作者：Gu, Ying;Chen, Liping;Gu, Ying;Feng, Guoqing;Zhang, Han;Hou, Peichen;Wang, Cheng;Chen, Liping;Luo, Bin

关键词：Hyperspectral imaging; Data fusion; Deep learning; Strigolactones; Convolutional neural network
Wheat Fusarium head blight severity grading using generative adversarial networks and semi-supervised segmentation

作者：Feng, Guoqing;Gu, Ying;Wang, Cheng;Luo, Bin;Feng, Guoqing;Wang, Cheng;Luo, Bin;Feng, Guoqing;Gu, Ying;Wang, Cheng;Luo, Bin;Zhang, Dongyan;Xu, Rui;Zhu, Zhanwang

关键词：Wheat Fusarium head blight; Image generation; Super-resolution reconstruction; Knowledge distillation; Semantic segmentation
Determination of ultra-trace level Cr(VI) in seawater using large-volume direct injection by LC-ICP-MS with in-line matrix elimination

作者：Yao, Zhenzhen;Li, Bingru;Ma, Zhihong;Wang, Beihong

关键词：

Recognition of wheat preharvest sprouting based on hyperspectral imaging

作者其他论文 更多>>

Data fusion-driven hyperspectral imaging for non-destructive detection of single maize seed vigor

The giant genome of lily provides insights into the hybridization of cultivated lilies

Calycosin, a Bioactive Isoflavone, Ameliorates Oxidative Stress and Inflammation in Lipopolysaccharide-Induced Intestinal Cell Damage Model via the Nrf2 and NF-κB Signaling Pathways

Traditional and novel organophosphate esters in atmosphere of greenhouse covered with mulch films: Seasonal variations, partitioning and exposure risks

Detection of Strigolactone-Treated wheat seeds via Dual-View hyperspectral data fusion and deep learning

Wheat Fusarium head blight severity grading using generative adversarial networks and semi-supervised segmentation

Determination of ultra-trace level Cr(VI) in seawater using large-volume direct injection by LC-ICP-MS with in-line matrix elimination

意 见 箱

作者其他论文更多>>

意见箱