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| 1 | 利用高光谱图像技术检测水果轻微损伤显示文摘提出了利用高光谱图像技术检测水果轻微损伤的方法。试验以苹果为研究对象,利用500~900nm范围内的高光谱图像数据,通过主成分分析提取547nm波长下的特征图像,然后设计不均匀二次差分消除了苹果图像亮度分布不均匀的影响,最后通过合适的数字图像处理方法提取苹果的轻微损伤。试验结果表明,高光谱图像技术对苹果轻微损伤的检测正确率达到88.57%。 | 赵杰文 刘剑华 陈全胜 Saritporn Vittayapadung | 2008 | 农业机械学报2008，39，1： | 105 |
| 2 | 基于近红外光谱和机器视觉的多信息融合技术评判茶叶品质显示文摘首次提出利用近红外光谱和机器视觉的多传感信息融合技术评判茶叶品质。试验以4个等级的炒青绿茶为试验对象,对获取的图像特征信息和光谱特征信息,通过主成分分析提取相应的主成分得分向量构成模式识别的输入。利用BP神经网络方法建立茶叶综合品质评判模型。在模型的建立过程中,对各个信息的主成分因子数进行了优化。从试验的结果看,在图像信息主成分因子数等于6,光谱信息主成分因子数等于3时,建立的模型最佳,模型训练时的回判率为99%,预测时的识别率为89%。研究结果表明基于近红外光谱和机器视觉技术的多传感信息融合技术评判茶叶综合品质的方法是可行的,评判结果的准确性和稳定性都较单个信息模型有所提高。 | 陈全胜 赵杰文 蔡健荣 Vittayapadung Saritporn | 2008 | 农业工程学报2008，24，3： | 61 |
| 3 | 利用高光谱图像技术评判茶叶的质量等级显示文摘针对茶叶品质无损检测时内外品质难以同时兼顾的问题,利用高光谱图像技术检测茶叶质量。设计一套基于光谱仪的高光谱图像系统采集数据;通过主成分分析,从海量数据中优选出三个波长段的特征图像;从每个特征图像中分别提取平均灰度级、标准方差、平滑度、三阶矩、一致性和熵等6个基于统计矩的纹理特征参量,每个样本共有18个特征变量;再通过主成分分析对这18个特征变量进行压缩,提取8个主成分因子建立基于反向传播神经网络的茶叶等级判别模型。模型训练时的总体回判识别率为97%;预测时总体识别率为94%。结果表明,高光谱图像技术可以用于茶叶质量等级水平的评判。 | 陈全胜 赵杰文 蔡健荣 Vittayapadung Saritporn | 2008 | 光学学报2008，28，4： | 61 |
| 4 | 利用高光谱成像技术和多变量校正方法检测苹果的硬度(英文)显示文摘高光谱图像集图像信息与光谱信息于一身,应用于农产品品质无损检测领域。该研究尝试利用高光谱图像技术结合多变量校正方法检测苹果硬度的可行性。试验通过获取的高光谱图像中提取有效的光谱信息来建立预测苹果硬度的预测模型。在建立模型过程中,偏最小二乘(PLS)和支持向量回归(SVR)两种多变量校正方法被比较,结果表明在785.11~872.45nm范围内,SVR模型的性能优于PLS模型,模型对硬度预测结果的相关系数为0.6808。试验结果表明高光谱图像技术可以被用来检测苹果的硬度。 | 赵杰文 陈全胜 Saritporn Vittayapadung Sumpun Chaitep | 2009 | 农业工程学报2009，25，11： | 22 |
| 5 | Optimization on the Conversion of Bamboo Shoot Shell to Levulinic Acid with Environmentally Benign Acidic Ionic Liquid and Response Surface Analysis显示文摘Levulinic acid(LA) has been identified as a promising green,biomass derived platform chemical.Response surface analysis(RSA) with a four-factor-five-level central composite design(CCD) was applied to optimize the hydrolysis conditions for the conversion of bamboo(Phyllostachys Praecox f.preveynalis) shoot shell(BSS) to LA catalyzed with ionic liquid [C4mim]HSO4.The effects of four main reaction parameters including temperature,time,C[C4mim]HSO4(initial [C4mim]HSO4 concentration) and XBSS(initial BSS intake) on the hydrolysis reaction for yield of LA were analyzed.A quadratic equation model for yield of LA was established and fitted to the data with an R2 of 0.9868,and effects of main factors and their corresponding relationships were obtained with RSA.Model validation and results of CCD showed good correspondence between actual and predicted values.The analysis of variance(ANOVA) of the results indicated that the yield of LA in the range studied was significantly(P<0.05) affected by the four factors.The optimized reaction conditions were as follows:temperature of 145 ℃,time of 103.8 min,C[C4mim]HSO4 of 0.9 mol.L-1 and XBSS of 2.04%(by mass),respectively.A high yield [(71±0.41)%(by mol),triplicate experiment] was obtained at the optimum conditions of temperature of 145 ℃,time of 104 min,C[C4mim]HSO4 of 0.9 mol.L-1 and XBSS of 2%(by mass),which obtained from the real experiments,concurred with the model prediction [73.8%(by mol) based on available C6 sugars in BSS or 17.9%(by mass) based on the mass of BSS],indicating that the model was adequate for the hydrolysis process. | 周存山 余筱洁 马海乐 何荣海 Saritporn Vittayapadung | 2013 | Chinese Journal of Chemical Engineering2013，21，5： | 8 |
| 6 | Nonde- structive measurement of sugar content of apple using hy- perspectral imaging technique显示文摘 | Jiewen Z Vittayapadung S Quansheng C | 2009 | Maejo International Jour- nal of Science and Technology2009，3，01： | 1 |
| 7 | Opportunities and challenges for biodiesel fuel显示文摘 | Lin L Cunshan Z Vittayapadung S | 2011 | Applied Energy2011，88，4： | 1 |
| 8 | Oppor-tunities and challenges for biodiesel fuel显示文摘 | LIN L ZHOU C S VITTAYAPADUNG S | 2011 | Applied En-ergy2011，88，4： | 1 |
| 9 | Opportunities and challenges for biodiesel fuel显示文摘 | Lin L Cunshan Z Vittayapadung S | 2011 | Applied Energy2011，88，4： | 1 |
| 10 | Opportunities and challenges for biodiesel fuel显示文摘 | Lin L Cunshan Z Vittayapadung S | 2011 | Applied Energy2011，88，4： | 1 |
| 11 | Identification of the green tea grade level using electronic tongue and pattern recognition显示文摘 | Quansheng Chen Jiewen Zhao Saritporn Vittayapadung | 2008 | Food Research International2008，，5： | 1 |
| 12 | Identification of the green tea grade level using electronic tongue and pattern recognition显示文摘 | QUANSHENG CHEN JIEWEN ZHAO SARITPORN VITTAYAPADUNG | 2008 | Food Research International2008，41，5： | 1 |
| 13 | Identification of the green tea grade level using electronic tongue and pattern recognition显示文摘 | Quansheng Chen Jiewen Zhao Saritporn Vittayapadung | 2008 | Food Research International2008，41，5： | 1 |
| 14 | 离子液催化竹笋壳制备乙酰丙酸的响应面分析优化(英文)显示文摘 | 周存山 余筱洁 马海乐 何荣海 Saritporn Vittayapadung | 2013 | Chinese Journal of Chemical Engineering2013，，05： | 1 |
| 15 | Opportunities and challenges for biodiesel fuel显示文摘 | Lin L Cunshan Z Vittayapadung S | | 0，，04： | 1 |
| 16 | Identification of the green tea grade level using electronic tongue and pattern recognition显示文摘 | Quansheng Chen Jiewen Zhao Saritporn Vittayapadung | 2008 | Food Research International2008，41，5： | 1 |
| 17 | Identification of the green teagrade level using electronic tongue and pattern recognition 显示文摘 | Chen Q Zhao J Vittayapadung S | 2008 | Food Research International2008，41，： | 1 |
| 18 | Identification of the green tea grade level using electronic tongue and pattern recognition显示文摘 | Chen Q Zhao J Vittayapadung S | 2008 | Food Research International2008，41，5： | 1 |
| 19 | Opportunities and challenges for biodiesel fuel 显示文摘 | Lin L Cunshan Z Vittayapadung S | 2011 | Applied Energy2011，88，4： | 1 |
| 20 | Identification of the green tea grade level using electronic tongue and pattern recognition显示文摘 | Chen Quansheng Zhao Jiewen Vittayapadung S | | 0，，05： | 1 |
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