基于比重的芒果收获后品种成熟度无损检测技术

N. S. Khalid, A. Abdullah, S. Shukor, F. A.S, H. Mansor, N.D.N. Dalila
{"title":"基于比重的芒果收获后品种成熟度无损检测技术","authors":"N. S. Khalid, A. Abdullah, S. Shukor, F. A.S, H. Mansor, N.D.N. Dalila","doi":"10.1109/AMS.2017.26","DOIUrl":null,"url":null,"abstract":"Non-destructive methods for fruit quality monitoring are greatly relevant for process control in the food quality industry. One of the properties of Mangifera Indica L. (Mango) that could be used as a basis for non-destructive quality evaluation is specific gravity. With this respect, specific gravity was evaluated to predict the internal quality of the Mango. Specific gravity is the ratio of the fruits to the density of the water. Traditionally, in adapting the specific gravity approach, farmers and agriculturist will estimate the maturity of the Mango by using floating techniques based on differences in density. However, this is inconvenient and time consuming. Based on the specific gravity value, the maturity of the Mango can be estimate. Hence, image processing techniques were proposed to estimate the specific gravity of Mango. The predicted specific gravity of 50 mangoes were used and compared with the actual result with high correlation of R=75.69%.The result showed the image processing techniques can be applied for non-destructive Mango quality evaluation based on specific gravity.","PeriodicalId":219494,"journal":{"name":"2017 Asia Modelling Symposium (AMS)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Non-Destructive Technique based on Specific Gravity for Post-harvest Mangifera Indica L. Cultivar Maturity\",\"authors\":\"N. S. Khalid, A. Abdullah, S. Shukor, F. A.S, H. Mansor, N.D.N. Dalila\",\"doi\":\"10.1109/AMS.2017.26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Non-destructive methods for fruit quality monitoring are greatly relevant for process control in the food quality industry. One of the properties of Mangifera Indica L. (Mango) that could be used as a basis for non-destructive quality evaluation is specific gravity. With this respect, specific gravity was evaluated to predict the internal quality of the Mango. Specific gravity is the ratio of the fruits to the density of the water. Traditionally, in adapting the specific gravity approach, farmers and agriculturist will estimate the maturity of the Mango by using floating techniques based on differences in density. However, this is inconvenient and time consuming. Based on the specific gravity value, the maturity of the Mango can be estimate. Hence, image processing techniques were proposed to estimate the specific gravity of Mango. The predicted specific gravity of 50 mangoes were used and compared with the actual result with high correlation of R=75.69%.The result showed the image processing techniques can be applied for non-destructive Mango quality evaluation based on specific gravity.\",\"PeriodicalId\":219494,\"journal\":{\"name\":\"2017 Asia Modelling Symposium (AMS)\",\"volume\":\"137 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Asia Modelling Symposium (AMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AMS.2017.26\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Asia Modelling Symposium (AMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMS.2017.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

水果质量的无损监测方法与食品质量行业的过程控制有着重要的关系。芒果(Mangifera Indica L.)的比重可以作为无损质量评价的依据之一。在这方面,比重的评估,以预测芒果的内部质量。比重是水果与水的密度之比。传统上,在采用比重方法时,农民和农业学家将根据密度的差异使用浮动技术来估计芒果的成熟度。然而,这是不方便和耗时的。根据比重值,可以估计芒果的成熟度。因此,提出了图像处理技术来估计芒果的比重。利用50个芒果的预测比重与实际结果进行了比较,相关系数R=75.69%。结果表明,该图像处理技术可用于基于比重的芒果无损质量评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-Destructive Technique based on Specific Gravity for Post-harvest Mangifera Indica L. Cultivar Maturity
Non-destructive methods for fruit quality monitoring are greatly relevant for process control in the food quality industry. One of the properties of Mangifera Indica L. (Mango) that could be used as a basis for non-destructive quality evaluation is specific gravity. With this respect, specific gravity was evaluated to predict the internal quality of the Mango. Specific gravity is the ratio of the fruits to the density of the water. Traditionally, in adapting the specific gravity approach, farmers and agriculturist will estimate the maturity of the Mango by using floating techniques based on differences in density. However, this is inconvenient and time consuming. Based on the specific gravity value, the maturity of the Mango can be estimate. Hence, image processing techniques were proposed to estimate the specific gravity of Mango. The predicted specific gravity of 50 mangoes were used and compared with the actual result with high correlation of R=75.69%.The result showed the image processing techniques can be applied for non-destructive Mango quality evaluation based on specific gravity.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信