Study on Inspection System of Quality for Fruit and Vegetables using Spectral Imaging(UV-NIR).
Study on Inspection System of Quality for Fruit and Vegetables using Spectral Imaging(UV-NIR).
批准号:
15380175
负责人:
NAGATA Masateru
金额:
$5.63万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B)
财政年份:
2003
资助国家:
日本
项目状态:
已结题
起止时间:
2003 至 2005
中文摘要
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英文摘要
Consumers are demanding for higher quality and better safety of agricultural produce. While external food quality inspection is now more commonly done during post-harvest processing, the non-destructive measurement of internal quality such as sugar content and firmness is becoming more important. Thus, more accurate quality measurement techniques are needed. The main goal of this research is to develop prediction models that can estimate soluble solids content (SSC) and firmness in strawberries and SSC in tomatoes using hyperspectral imaging in visible (VIS) and near-infrared (NIR).1.Strawberries1)A VIS liquid crystal tunable filter-based hyperspectral imaging that took images from 450 nm to 650 nm at 2-nm intervals was used to relate spectral reflectance data with firmness. In the technically ripe sample sets, the five-predictor firmness model (510, 650, 644, 628, and 598 nm) had an SEP of 0.364 and a correlation coefficient r of 0.784.2)Similarly, using NIR hyperspectral images (650-1000nm at 5-nm intervals) were taken to develop calibration models for firmness and SSC using stepwise multiple linear regression. The three-wavelength prediction model for firmness had a correlation of 0.786 and SEP of 0.350 (50% to Full-ripe group). While for SSC, the five-wavelength prediction model yielded a correlation of 0.870 and SEP of 0.530 (70% to Full-ripe group).2.TomatoesUsing NIR hyperspectral images from 650 nm to 1100 nm at 10-nm intervals calibration models were developed to relate the second derivative of the absorbance spectral data to the fruit's SSC. The five-wavelength model had a correlation coefficient r of 0.939 and SEC of 0.094 for the Full-ripe samples.Hyperspectral imaging was found very useful for the non-destructive estimation of internal quality of fruits and fruit-vegetables.Papers based on this research were chosen to receive the IET Select Paper Award during the international meetings of ASAE in 2004 and 2005.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
近赤外分光法による温州ミカン (Citrus unshiu) の糖度計測法に関する基礎的研究
近红外光谱测定温州蜜糖含量的基础研究
DOI:
--
发表时间:
2005
期刊:
宮崎大学農学部研究報告 51・1-2
影响因子:
--
作者:
[小林太一, ジャスパ タラダ, 永田雅輝]
通讯作者:
永田雅輝
Sturdy on Non-Destructive Measurement System using Hyperspectral Imaging for Strawberry and other fruits and vegetables.
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批准号:18580261
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$2.46万
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财政年份:2006
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负责人:NAGATA Masateru
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依托单位:
Study on Quality and Management on Agricultural Production in China
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批准号:11695081
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项目类别:Grant-in-Aid for Scientific Research (B)
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资助金额:$1.92万
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财政年份:1999
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负责人:NAGATA Masateru
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依托单位:
Study on Quality Estimation of fruit surface for Strawberry and Tomato in Wave of Near Infrared (NIR)
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批准号:11660256
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$2.3万
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财政年份:1999
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负责人:NAGATA Masateru
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依托单位:
Study on Strawberry Sorting System with Precooling Function
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批准号:08456129
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项目类别:Grant-in-Aid for Scientific Research (B)
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资助金额:$4.93万
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财政年份:1996
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负责人:NAGATA Masateru
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依托单位:
INTRODUCTION AND MECHANIZATION OF MULCHING CULTIVATION SYSTEM BY USING POLYETHELENE FILM FOR EARLY-SEASON CULTURE RICE
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批准号:05556044
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项目类别:Grant-in-Aid for Developmental Scientific Research (B)
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资助金额:$5.89万
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财政年份:1993
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负责人:NAGATA Masateru
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依托单位:
Basic studies of Mechanism and Controlled Circulation on Automatic
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批准号:04660267
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项目类别:Grant-in-Aid for General Scientific Research (C)
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资助金额:$1.34万
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财政年份:1992
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负责人:NAGATA Masateru
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依托单位:
海外基金