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Sturdy on Non-Destructive Measurement System using Hyperspectral Imaging for Strawberry and other fruits and vegetables.

使用高光谱成像对草莓和其他水果和蔬菜进行坚固的无损测量系统。

基本信息

批准号：
18580261
负责人：
NAGATA Masateru
金额：
$ 2.46万
依托单位：
University of Miyazaki
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2006
资助国家：
日本
起止时间：
2006 至 2007
项目状态：
已结题

项目摘要

Recently, consumers are demanding for higher quality and better safety of agricultural produce. A non-destructive measurement technique for inspecting food quality strictly is becoming more important. Thus, more accurate quality measurement techniques are needed for sorting fruits and vegetables such strawberry during post-harvest processing. The main goal of this research is to develop a synthesis system of quality measurement for inspecting fruits using a hyperspectral imaging which is hotter technique at USA. Measurement using hyperspectral imaging was carried out an external and internal food quality inspection (ripeness, insect damage, firmness, bruises, soluble solids content, function of pigment etc. for strawberry, mango, peach and eggplant. An outline of research results was as follows.1. Quality of strawberry, peach and mango(1)The special spectral image at NIR (600-1000nm wavelength)for detecting was 825nm and 980nm wavelength on strawberry,810nm wavelength on peach. But the … More re was not special spectral image on mango.(2)The special spectral image at MR (600-1000nm wavelength)for an estimation of a soluble solids content and a ripeness was that the three-wavelength prediction model for strawberry of 50% ripe over was correlation at 0.78 over, and the five-wavelength prediction model for mango and peach was correlation at 0.79, 0.80 respectively.Hyperspectral imaging was found very useful for the non-destructive estimation of external and internal quality of fruit and fruit-vegetables.2. Function of pigments of purple-fleshed sweet potato and eggplant (an estimation of anthocyanin pigments)The most strong absorbance spectral wavelength of anthocyanin pigments was 525nm on purple-fleshed sweet potato, and 716nm on eggplant. The relationship between absorbance of spectral image and measured anthocyanin pigment was a correlation coefficient at 0.75-0.97.3. Develop of a synthesis system of quality measurementA synthesis system of quality measurement using a hyperspectral image was developed. It was a simplified non-destructive type and low cost. Less

近年来，消费者对农产品质量和安全的要求越来越高。严格检验食品质量的无损测量技术变得越来越重要。因此，需要更准确的质量测量技术来在收获后加工过程中对草莓等水果和蔬菜进行分类。这项研究的主要目标是开发一种质量测量综合系统，用于使用美国较热门的高光谱成像技术来检查水果。利用高光谱成像技术对草莓、芒果、桃子、茄子等食品进行外部和内部质量检测（成熟度、虫害、硬度、碰伤、可溶性固形物含量、色素功能等）。研究结果概要如下：1.草莓、桃子、芒果的品质（1）检测的近红外（600-1000nm波长）特殊光谱图像为825nm，草莓的波长为 980nm，桃子的波长为 810nm。但芒果上并没有特殊的光谱图像。(2)用于估计可溶性固形物含量和成熟度的MR(600-1000nm波长)的特殊光谱图像是，成熟度为50%以上的草莓的三波长预测模型相关性为0.78以上，芒果和成熟度为50%以上的草莓的五波长预测模型相关性为0.78以上。桃的相关性分别为0.79、0.80。高光谱成像对于水果和果蔬外部和内部质量的无损评估非常有用。2．紫肉甘薯和茄子色素的作用（花青素色素的测定）紫肉甘薯和茄子中花青素色素最强吸收光谱波长为525nm 红薯，716nm 茄子。光谱图像吸光度与实测花青素色素的相关系数为0.75-0.97.3。质量测量综合系统的开发开发了使用高光谱图像的质量测量综合系统。它是一种简化的非破坏性类型，成本低廉。少