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Winter wheat biomass estimation based on canopy spectra

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International Journal of Agricultural and Biological Engineering 2015年第6期8卷 30-36页

作者： Zheng Ling zhu dazhou Liang Dong Zhang Baohua Wang Cheng Zhao Chunjiang Beijing Research Center for Information Technology in Agriculture Beijing 100097China School of Electronic Information Engineering Anhui UniversityHefei 230039China

The winter wheat aboveground biomass is an important agronomic parameter to estimate the growth status,and evaluate the yield and *** technique provides a nondestructive and fast method for estimating the winter wheat *** order to find the optimum model by analyzing the wheat canopy spectral characteristic during the whole growth period,field trails were conducted at the National Demonstration Base of Precision Agriculture in Beijing Xiaotangshan town.A portable spectrometer(200-1100 nm)was used to collect the wheat canopy spectra of different varieties at the different growth stages(green stage,jointing stage,booting stage,heading stage and filling stage),clipping the winter wheat at ground level at the same *** and correlation analysis were used to establish the winter wheat biomass estimation models in this *** results showed that the biggest different bands of the winter wheat canopy spectral reflection curves mainly lied along the blue and near-infrared *** spectral reflectance at 678 nm in the visible light range had the best correlation with the biomass(correlation=0.724).The monadic regression analysis,the multiple regression analysis and the partial least squares regression analysis were applied to establish the biomass estimation models,among which the partial least squares regression(PLS)model had higher modeling *** R2 of the calibration and validation were 0.916 and 0.911,*** root-mean-square error(RMSE)of the calibration and validation were 0.090 kg and 0.094 kg(Sample area 50 cm×60 cm).The results indicated that the PLS model(400-1000 nm)could fully estimate the aboveground biomass in the whole growth period of wheat with a better measurement accuracy.

关键词： winter wheat biomass canopy spectra crop growth period partial least square regression

Differentiation of storage time of wheat seed based on near infrared hyperspectral imaging

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International Journal of Agricultural and Biological Engineering 2017年第2期10卷 251-258页

作者： Dong Gao Guo Jian Wang Cheng Liang Kehong Lu Lingang Wang Jing zhu dazhou Institute of Food and Nutrition Development Ministry of AgricultureBeijing 100081China Faculty of Physics and Optoelectronic Engineering Xiangtan UniversityXiangtan 411105China Beijing Research Center for Information Technology in Agriculture Beijing 100097China

Seed aging during storage is one of the main factors that influence the quality of wheat *** detection methods based on NIR spectra were mostly for group seeds,they had poor stability for single seed detection because of sample *** this study,the characteristic changes of single wheat seed during storage procedure were measured through hyperspectral imaging ***,hyperspectral imaging data of wheat grain including six years from 2007 to 2012 had been *** original spectra showed clear difference in the band of 1400-1600 nm,which may be caused by the decreasing of moisture and protein content during storage;principal component analysis(PCA)was applied to analyze the spectral data of wheat grain including six years,the clustering chart of the principal components indicated that the grain between same or similar year have an clustering characteristic,and the characteristic difference would become obviously with the increasing of storage time;soft independent modeling of class analogy(SIMCA)was applied to classify the grain of different years,results showed that the classification accuracy of the dichotomy between adjacent years could reach 97.05%,and the accuracy of the mixed classification of six years could also reach 82.5%.These results indicated that hyperspectral imaging technology could be used to differentiate the quality change of wheat seed during different storage time,which could provide support for the intelligent monitoring of stored wheat seeds.

关键词： hyperspectral image wheat seed storage intelligent monitoring single seed

关于保健食品的知识、态度、行为调查分析研究

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中国食品卫生杂志 2023年第7期35卷 1027-1034页

作者：武宁朱孟东李颜秘任潇朱大洲成都大学食品与生物工程学院四川成都610000 农业农村部食物与营养发展研究所北京100081

目的调查消费者保健食品知识、态度、行为(KAP)现状,探讨其相关影响因素,为保健食品科普工作的开展提供依据。方法通过网络问卷对我国23省、4个直辖市的消费者开展保健食品KAP调查,并对科普工作者和保健食品从业人员的专业素养、工作意... 详细信息

目的调查消费者保健食品知识、态度、行为(KAP)现状,探讨其相关影响因素,为保健食品科普工作的开展提供依据。方法通过网络问卷对我国23省、4个直辖市的消费者开展保健食品KAP调查,并对科普工作者和保健食品从业人员的专业素养、工作意愿进行调查。结果消费者保健食品知识的平均知晓率为45.30%,正确态度的平均持有率为67.92%,正确行为的平均具备率为44.86%。年龄、户籍、学历、从事行业等是影响保健食品KAP得分的因素,且知识、态度、行为得分两两之间存在正相关关系。科普工作存在科普力度不足、科普形式单一、科普内容片面等问题。结论消费者保健食品知识、态度和行为整体水平偏低,应加大科普力度、增强科普趣味性,同时应遵循客观性原则科普保健食品功效。

关键词：保健食品知识态度行为科普内容

基于SSA-SVM的营养健康信息文本分类研究

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计算机时代 2023年第6期 82-86,91页

作者：刘蕾田鑫宇朱大洲黑龙江八一农垦大学黑龙江大庆163319 农业农村部食物与营养发展研究所

为了能够快速、便捷地提取互联网中有关食物营养健康相关信息,针对传统文本分类算法的不足,利用麻雀搜索算法(SSA)良好的寻优能力对支持向量机(SVM)的最优参数组合进行搜索,提出一种基于SSA-SVM的文本分类方法。对SSA-SVM模型在不同的... 详细信息

为了能够快速、便捷地提取互联网中有关食物营养健康相关信息,针对传统文本分类算法的不足,利用麻雀搜索算法(SSA)良好的寻优能力对支持向量机(SVM)的最优参数组合进行搜索,提出一种基于SSA-SVM的文本分类方法。对SSA-SVM模型在不同的数据集中的分类效果进行了试验研究,结果表明,SSA全局寻优性能稳定,可有效降低SVM参数选取对系统泛化能力和分类精度的影响,SSA-SVM模型在营养健康文本分类中准确率可达到83.8%,对食物营养健康信息挖掘研究具有一定的参考价值。

关键词：营养健康文本分类支持向量机麻雀搜索算法

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我国小米硒含量情况及富硒化研究进展

中国食品学报 2020年第7期20卷 337-343页

作者：梁克红卢林纲朱大洲朱宏农业部食物与营养发展研究所北京100081

本研究调查了我国10个地区市售的小米中总硒含量情况,结果发现,市售的普通小米硒含量差异大,且总硒含量普遍不高。除此之外,概述小米的富硒技术、谷物中硒形态、代谢等,阐述因缺硒或摄入超量硒而导致的相关健康风险,提出小米及谷物作物... 详细信息

本研究调查了我国10个地区市售的小米中总硒含量情况,结果发现,市售的普通小米硒含量差异大,且总硒含量普遍不高。除此之外,概述小米的富硒技术、谷物中硒形态、代谢等,阐述因缺硒或摄入超量硒而导致的相关健康风险,提出小米及谷物作物硒研究中需要解决的问题,以期为高效利用谷物中的硒提供参考。

关键词：小米硒形态生物利用率人体健康

The Detection of Soluble Solid Contents and Conductivity of Apple Juice by Homemade Near Infrared Spectrometer

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The Detection of Soluble Solid Contents and Conductivity of ...

Study on Interference from the Peel to Predict Apple Firmness by Near Infrared Spectroscopy

作者： dazhou zhu Zhihong Ma Anxiang Lu Liu Zhao Zhenhua Tu Cheng Wang Ligang Pan Nation Engineering Research Center for Information Technology in Agriculture Beijing Research Center for Agri-Food Testing and Farmland Monitoring College of Food Science and Nutritional Engineering China Agricultural University

The detection of apple juice is very important for its quality and safety *** developing of fast,non-invasive detection system is beneficial to the improvement of producing efficiency and *** this study,the homemade near infrared（NIR） spectrometer was applied to detect the soluble solid contents（SSC） and conductivity of apple juice,and the performance of homemade NIR analyzer and the feasibility of detecting conductivity by NIR spectra were *** varieties of apples（totally 120 samples） were collected,including Fuji apple,American green apple,and Chinese green *** fresh pellucid apple juice was made and their spectra were measured by a homemade charge coupled device（CCD） NIR *** result showed that homemade CCD NIR spectrometer could accurately predict the SSC of apple juice in the wavelength range of780-1100 nm combined with partial-least square *** correlation coefficient of calibration was r = 0.96,the standard deviation of prediction was SEP = 0.45°Brix,the relative of SEP was SEP%= 3.75%.The results indicated that the homemade NIR analyzer applied in this study had good performance,and the predictive ability of model was as good as that obtained by FT-NIR *** spectra and the conductivity of apple juice had some correlation（r = 0.77）,but the prediction accuracy was *** prediction result was SEP = 0.30,SEP%= 15.14%.From the analysis of regression coefficients of PLS model,it can be concluded that the conductivity and NIR spectra may have some indirect relation through the ionization of organic acid.

关键词： Near Infrared Spectroscopy Homemade Spectrometer Apple Juice SSC Conductivity

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Study on Interference from the Peel to Predict Apple Firmnes...

作者： Bolin Shi Lei Zhao Houyin Wang Wen Liu dazhou zhu Zhentua Tu Jingyuan Yin School of Communication and Information Engineering Shanghai University Food and Agriculture Standardization Institute China National Institute of Standardization Nation Engineering Research Center for Information Technology in Agriculture College of Food Science and Nutritional Engineering China Agricultural University

The near infrared spectra of apples with peel and peeled were collected by FT-NIR *** order to reduce the influence on the model of apple firmness,the useful wavelengths were selected and the outlier samples were *** analyze the difference between the models with peel and peeled,the calibration and prediction samples were divided for ten times and were used to build the ten different firmness models for both peel and *** the models of peeled apple,the correlation coefficient(r) and the relative standard deviation of prediction(RSDp) were all around 0.84 and12.6%,respectively,indicating that the peeled models were *** the peel model,r and RSDp were 0.74-0.86 and 13.5-17.7%,respectively,suggesting that the stability of the peel model was not very *** f-test for ten groups of RSDp showed that the difference was significant between the peel and peeled models(P < 0.0001).In addition,the results from Magness-Taylor puncture test only represented the firmness of ***,the near infrared diffuse reflectance spectra of peel apples contained the information of pectin substance from both peel and *** pectin substance content was closely related to the apple’s ***,the spectra and reference firmness data were not corresponded and the absorbance spectra of peel became the interference for the near infrared spectra of peel *** was obtained the reason for the prediction ability of peel apple model for the firmness reducing.

关键词： Near Infrared Spectroscopy Apple Peel Firmness Pectin Substance

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小麦茎秆机械强度的力学评价研究

农机化研究 2012年第9期34卷 17-23页

作者：朱艳姝朱大洲朱石沙王成国家农业智能装备技术研究中心北京100097 湘潭大学机械工程学院湖南湘潭411105

农作物茎秆强度的研究对于农机研发、抗倒伏研究均具有重要意义,目前大多截取秸秆的一部分进行室内力学研究,这种方法破坏性强且难以表征作物在田间的实际生物力学特性。为此,以自然生长状态的小麦为研究对象,运用弹性梁弯曲理论,分析... 详细信息

农作物茎秆强度的研究对于农机研发、抗倒伏研究均具有重要意义,目前大多截取秸秆的一部分进行室内力学研究,这种方法破坏性强且难以表征作物在田间的实际生物力学特性。为此,以自然生长状态的小麦为研究对象,运用弹性梁弯曲理论,分析小麦茎秆在横向受迫条件下产生的回弹力T,并给出回弹力的具体表达式,发现回弹力T与反映小麦茎秆强度特性的弹性模量E、截面惯性矩I有关。同时,设计了单株小麦回弹力实验测量系统,在小麦收获期使用该测量系统进行实验验证,比较测量值与理论计算值之间的差异,结果表明测量曲线与理论曲线基本吻合,通过分析同一小麦茎秆不同作用点处回弹力的差异,可反映出不同茎节处的机械强度。研究表明:将回弹力作为小麦茎秆机械强度的综合评价指标是可行的,可为农作物茎秆力学特性检测仪器设计以及收获机械的设计提供理论依据。

关键词：小麦茎秆机械强度受迫条件回弹力评价指标

Primary Study on Crop Wet Biomass Measuring with Dielectric Spectroscopy

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Primary Study on Crop Wet Biomass Measuring with Dielectric ...