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Modeling method for SSC prediction in pomelo using Vis-NIRS with wavelength selection and latent variable updating

International Journal of Agricultural and Biological Engineering 2024年第1期17卷 251-260页

作者： Hao Tian Shuai Wang huirong xu Yibin Ying College of Biosystems Engineering and Food Science Zhejiang UniversityHangzhou 310058China Key Laboratory of On-Site Processing Equipment for Agricultural Products Ministry of Agriculture and Rural AffairsHangzhou 310058China College of Food Science Shihezi UniversityShihezi 832003XinjiangChina

The aim of this study was in-line,rapid,and non-destructive detection for soluble solid content(SSC)in pomelos using visible and near-infrared spectroscopy(Vis-NIRS).However,the large size and thick rind of pomelo affect the stability of spectral acquisition and the biological variabilities affect the robustness of *** these issues,in this study,an efficient prototype in-line detection system in transmittance mode was designed and evaluated in comparison with an off-line detection *** from the years 2019 and 2020 were used for modeling and the external validation data were obtained by the inline detection system in *** wavelength selection methods of changeable size moving window(CSMW),random frog(RF),and competitive adaptive reweighted sampling(CARS)were used to improve the prediction accuracy of partial least squares regression(PLSR)*** best performance of internal prediction was obtained by CARS-PLSR and the determination coefficient of prediction(),root mean square error of prediction(RMSEP),and residual predictive deviation(RPD)were 0.958,0.204%,and 4.821,***,all models obtained large prediction biases in external *** latent variable updating(LVU)method was proposed to update models and improve the performance in external *** samples from the external validation set were randomly selected to update the *** with the recalibration method,LVU could effectively modify the original models which matched the SSC range of the external validation *** CSMW-PLSR models were more robust in external *** off-line model with LVU performed best with a root mean square error of validation(RMSEV)of 0.599%and the in-line model with recalibration obtained RMSEV of 0.864%.These results demonstrated the application potential of the transmittance Vis-NIRS for in-line rapid prediction of SSC in pomelos and the modeling and updating methods could be applied to samples with biological variabi

关键词： Vis-NIRS in-line detection external validation wavelength selection model updating pomelo SSC

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Quantitative and qualitative measurement of pear firmness based on near infrared spectroscopy and chemometrics

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International Journal of Agricultural and Biological Engineering 2008年第1期1卷 69-74页

作者： Fu Xiaping Ying Yibin Zhou Ying Lu Huishan xu huirong College of Biosystems Engineering and Food Science Zhejiang UniversityHangzhou 310029China

Firmness is one of the most important characteristics to estimate fruit maturity and *** potential of near-infrared(NIR)diffuse reflectance spectroscopy as a nondestructive way for pear firmness evaluation of three varieties(‘Cuiguan’,‘xueqing’and‘Xizilv’)was studied,both quantitatively and *** models were established using partial least square(PLS)methods in the spectral range of 800 to 2500 *** quantitative analysis,the correlation coefficient r increased with more varieties involved in the *** results were obtained in the model for all three varieties:rcalwas 0.934,root mean square error of calibration(RMSEC)and root mean square error of prediction(RMSEP)were 2.06 N and 3.14 N,*** qualitative analysis,the overall accuracies of discriminant PLS models for classifying pears into three firmness levels:low,medium and high firmness level were not so good,percentage of samples correctly classified ranged from 70.63%to 81.25%for calibration and from 56.25%to 74.38%for *** results indicate that NIR spectroscopy together with PLS chemometrics method is feasible for quantitative analysis of pear firmness,however,the classification accuracy is too low to put into practical application.

关键词： Firmness pear near infrared partial least square quantitative measurement qualitative measurement

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Promising real-time fruit and vegetable quality detection technologies applicable to manipulator picking process

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International Journal of Agricultural and Biological Engineering 2024年第2期17卷 14-26页

作者： Jintao Feng Qinyi Yang Hao Tian Zhipeng Wang Shijie Tian huirong xu College of Biosystems Engineering and Food Science Zhejiang UniversityHangzhou 310058China Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province Hangzhou 310058China

In recent years,worldwide research on fruit and vegetable quality detection technology includes machine vision,spectroscopy,acoustic vibration,tactile sensors,*** technologies have also been gradually applied to fruit and vegetable grading and sorting lines in recent years,greatly improving the income of *** have been numerous reviews of these *** of the published research on fruit and vegetable quality detection technology is still carried out in the *** emphases have been on quality feature extraction,model establishment and experimental *** successful application in the fruit and vegetable sorting production line proves that these studies have high application potential and value,and we look forward to the performance of these sensing technologies in the fruit and vegetable picking ***,in this paper,based on the future highly automated fruit and vegetable picking mode,we will focus on three kinds of fruit and vegetable quality detection technologies including machine vision,tactile sensor and spectroscopy,to provide some reference for future *** there are currently limited cases of detecting quality during the fruit and vegetable picking,experiments performed on prototypes of manipulator,or devices such as Nanocilia sensors,portable spectrometers,etc.,which are compact and convenient to mount on manipulator will be *** tables and mosaics showing the performance of the three technologies in the detection of fruit and vegetable quality over the past five years have been *** performance of each sensing technology was relatively satisfactory in the laboratory in ***,in the picking scenario,there are still many challenges to be *** from industrial environments,agricultural scenarios are complex and *** and vulnerable agricultural products pose another *** development of portable devices and nanomaterials have become important

关键词： fruit and vegetable quality detection machine vision spectroscopy tactile sensors picking scenario

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Material basis and pharmacodynamic mechanism of YangshenDingzhi granules in the intervention of viral pneumonia:Based on serum pharmacochemistry and network pharmacology

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Animal Models and Experimental Medicine 2024年第3期7卷 259-274页

作者： huirong xu Meiyue Dong Ruikun Du Chengcheng Zhang Zinuo Chen Guangyu Tian Qinghua Cui Kejian Li College of Traditional Chinese Medicine Shandong University of Traditional Chinese MedicineJinanChina Innovative Institute of Chinese Medicine and Pharmacy Shandong University of Traditional Chinese MedicineJinanChina Qingdao Academy of Chinese Medical Sciences Shandong University of Traditional Chinese MedicineQingdaoChina College of Pharmacy Shandong University of Traditional Chinese MedicineJinanChina

Background:YangshenDingzhi granules(YSDZ)are clinically effective in preventing and treating *** present study elucidates the underlying mechanism of YSDZ intervention in viral pneumonia by employing serum pharmacochemistry and network ***:The chemical constituents of YSDZ in the blood were examined using ultraperformance liquid chromatography-quadrupole/orbitrap high-resolution mass spectrometry(UPLC-Q-Exactive Orbitrap MS).Potential protein targets were obtained from the SwissTargetPrediction database,and the target genes associated with viral pneumonia were identified using GeneCards,DisGeNET,and Online Mendelian Inheritance in Man(OMIM)*** intersection of blood component-related targets and disease-related targets was determined using Venny ***-protein interaction networks were constructed using the STRING *** Metascape database was employed to perform enrichment analyses of Gene Ontology(GO)functions and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathways for the targets,while the Cytoscape 3.9.1 software was utilized to construct drug-component-disease-target-pathway ***,in vitro and in vivo experiments were performed to establish the therapeutic effectiveness of YSDZ against viral ***:Fifteen compounds and 124 targets linked to viral pneumonia were detected in *** these,MAPK1,MAPK3,AKT1,EGFR,and TNF play significant *** vitro tests revealed that the medicated serum suppressed the replication of H1N1,RSV,and SARS-CoV-2 ***,in vivo testing analysis shows that YSDZ decreases the viral load in the lungs of mice infected with RSV and ***:The chemical constituents of YSDZ in the blood may elicit therapeutic effects against viral pneumonia by targeting multiple proteins and pathways.

关键词： network pharmacology pharmacodynamical material basis serum pharmacochemistry viral pneumonia YangshenDingzhi granules

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皇冠梨糖度可见/近红外光谱在线检测模型传递研究

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农业机械学报 2017年第9期48卷 312-317页

作者：徐惠荣李青青浙江大学生物系统工程与食品科学学院杭州310058 农业部农产品产地处理装备重点实验室杭州310058

在水果内部品质检测分级实际生产中往往存在多通道测量,由于仪器不同或加工精度不同而存在多通道间检测模型不具通用性问题,应用多种模型传递方法研究了在线检测条件下两个不同可见/近红外光谱仪间的皇冠梨糖度预测模型传递及预测比较... 详细信息

在水果内部品质检测分级实际生产中往往存在多通道测量,由于仪器不同或加工精度不同而存在多通道间检测模型不具通用性问题,应用多种模型传递方法研究了在线检测条件下两个不同可见/近红外光谱仪间的皇冠梨糖度预测模型传递及预测比较分析。结果表明:从仪器的光谱数据经直接校正算法(DS)和基于平均光谱差值校正的DS算法(MSSC-DS)转换后用于主仪器所建模型的预测结果相对较好,预测均方根误差小于0.5°Brix,可以满足实际生产。但通过模型转换后的预测结果均比利用从仪器数据直接建模的预测结果要差(预测均方根误差为0.381°Brix),因而在实际生产中,需要从成本和分级精度的要求来考虑选择建模的方式。

关键词：皇冠梨糖度在线检测可见/近红外光谱模型传递

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基于彩色信息的树上柑橘识别研究

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农业工程学报 2005年第5期21卷 98-101页

作者：徐惠荣叶尊忠应义斌浙江大学生物系统工程与食品科学学院杭州310029

为正确识别自然环境中的树上水果,从而为机械手的运动提供参数并完成水果的自动采摘,研究了基于彩色信息的树上柑橘识别方法。在对53幅含有各种背景情况的可见光彩色图像进行颜色特征提取和理解的基础上,建立了利用柑橘、树叶、树枝在R-... 详细信息

为正确识别自然环境中的树上水果,从而为机械手的运动提供参数并完成水果的自动采摘,研究了基于彩色信息的树上柑橘识别方法。在对53幅含有各种背景情况的可见光彩色图像进行颜色特征提取和理解的基础上,建立了利用柑橘、树叶、树枝在R-B颜色指标上的差异进行树上柑橘识别的颜色模型,并利用动态阈值法,根据图像特征动态产生阈值T,将柑橘从背景中分割出来。分别在顺光条件和逆光条件下进行了试验分析,试验结果表明该识别模型可以实现对树上可见的柑橘的识别,并适用于单个和多个果实的识别,正确识别率较高。

关键词：机器视觉柑橘收获彩色图像处理动态阈值

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基于多元校正法的香梨糖度可见/近红外光谱检测

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农业机械学报 2010年第12期41卷 126-129,147页

作者：徐惠荣陈晓伟应义斌浙江大学生物系统工程与食品科学学院杭州310029

应用可见/近红外光谱透射技术结合多元校正法探讨了样品在不同温度条件（5、10、15、20℃）下香梨糖度的快速无损检测。在波长500-900 nm范围内,用逐步多元线性回归（SMLR）、偏最小二乘法（PLS）、最小二乘支持向量机（LS SVM1、LS SVM... 详细信息

应用可见/近红外光谱透射技术结合多元校正法探讨了样品在不同温度条件（5、10、15、20℃）下香梨糖度的快速无损检测。在波长500-900 nm范围内,用逐步多元线性回归（SMLR）、偏最小二乘法（PLS）、最小二乘支持向量机（LS SVM1、LS SVM2）和遗传算法偏最小二乘法（GA PLS）等多种多元校正法进行了建模预测比较研究。预测结果从优到差依次为LS SVM2、LS SVM1、GA PLS、PLS、SMLR。

关键词：香梨糖度无损检测可见/近红外光谱多元校正温度

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实现分配公平构建和谐社会

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生产力研究 2005年第11期 7-8页

作者：赵满华徐慧荣太原师范学院山西太原030012 山西省政府经济研究中心山西太原030001

实现收入分配公平是构建社会主义和谐社会的重要条件之一,在我国现阶段如何判断收入分配是否公平?本文对这一问题进行了分析,并提出了实现收入分配公平的措施。

关键词：分配公平判断标准对策建议

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荧光分散红G的染色工艺实践

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针织工业 2013年第4期 59-60页

作者：徐会荣冯文林盐城市曜源染整有限公司江苏盐城224002

以涤纶针织汗布为试样,介绍了荧光分散红G的染色过程:先使用2%的酸性乳化剂HT-875在120℃条件下对坯布进行30 min前处理,然后进行染色,控制染浴pH值为6.0-6.5,还原清洗时所用的烧碱用量和保险粉用量应是其他分散染料还原清洗时用量的1.5... 详细信息

以涤纶针织汗布为试样,介绍了荧光分散红G的染色过程:先使用2%的酸性乳化剂HT-875在120℃条件下对坯布进行30 min前处理,然后进行染色,控制染浴pH值为6.0-6.5,还原清洗时所用的烧碱用量和保险粉用量应是其他分散染料还原清洗时用量的1.5倍,以保证还原清洗的程度。

关键词：荧光分散红G 染色前处理 pH值分散染料

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关于中国农业工程类专业建设和人才培养的若干思考

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农业工程学报 2021年第10期37卷 284-292页

作者：应义斌泮进明徐惠荣林涛韩鲁佳康绍忠浙江大学生物系统工程与食品科学学院杭州310058 中国农业大学工学院北京100083 中国农业大学水利与土木工程学院北京100083

新时代全面推进乡村振兴和加快农业农村现代化赋予了农业工程新的职责和使命,提供了更加广阔的天地和发展机遇。大学面临着科技发展的新挑战、社会发展的新要求和人才需求的新变化,未来的教育将更加开放、适合、人本、平等、可持续。农... 详细信息

新时代全面推进乡村振兴和加快农业农村现代化赋予了农业工程新的职责和使命,提供了更加广阔的天地和发展机遇。大学面临着科技发展的新挑战、社会发展的新要求和人才需求的新变化,未来的教育将更加开放、适合、人本、平等、可持续。农业工程教育面临前所未有的挑战和机遇,迫切需要我们思考应如何培养高度智能化的未来农业的创造者、引领者和支撑者;思考如何聚焦本学科专业,坚守农业工程主体地位,使学科专业形成螺旋式上升的良性循环。该文分析了国际农业工程学科专业的发展,表明国际农业工程人才培养已凸显农业、工程、生物、信息的交叉,交叉融合的核心课程体系已成为专业学生不可替代性的标签。该文认为,强化本专业学生的不可替代性是强化学科专业主体地位和推动学科专业声誉形成螺旋式上升良性循环的关键所在,建议通过4个转变(从注重知识本位向提升素养本位转变,从专业教育向专业+通识教育并重转变,从高度专业化培养向宽专交融合转变和从偏重职业技能向注重全面成长转变),推动“新农业工程”的建设。

关键词：农业工程专业建设人才培养

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