基于传感器和神经网络的牛奶质量评价与分级

J. Swarup Kumar, D. Indira, K. Srinivas, M. N. Satish Kumar
{"title":"基于传感器和神经网络的牛奶质量评价与分级","authors":"J. Swarup Kumar, D. Indira, K. Srinivas, M. N. Satish Kumar","doi":"10.1109/ICEARS53579.2022.9752269","DOIUrl":null,"url":null,"abstract":"Every person's primary source of nutrition comes from milk. Adulterants should not be found in milk that is of high quality. In most cases, local shopkeepers and supermarket shops alike sell milk. Nevertheless, the local milk merchants utilise a slew of adulterants in their product, changing the composition of milk forever. The usage of degraded milk can lead to major health problems. The milk must therefore be tested for the presence of necessary parameters and any adulterants that have been added to it in order to ensure the quality of the milk. Here, sensors are employed to estimate several factors, such as pH, turbidity and colour. Similarly, the milk sector should be able to transmit the administration continuous data on milk quality during the production of milk bundles using the Neural Network model to help combat illegal items like poor milk quality.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Quality Assessment and Grading of Milk using Sensors and Neural Networks\",\"authors\":\"J. Swarup Kumar, D. Indira, K. Srinivas, M. N. Satish Kumar\",\"doi\":\"10.1109/ICEARS53579.2022.9752269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Every person's primary source of nutrition comes from milk. Adulterants should not be found in milk that is of high quality. In most cases, local shopkeepers and supermarket shops alike sell milk. Nevertheless, the local milk merchants utilise a slew of adulterants in their product, changing the composition of milk forever. The usage of degraded milk can lead to major health problems. The milk must therefore be tested for the presence of necessary parameters and any adulterants that have been added to it in order to ensure the quality of the milk. Here, sensors are employed to estimate several factors, such as pH, turbidity and colour. Similarly, the milk sector should be able to transmit the administration continuous data on milk quality during the production of milk bundles using the Neural Network model to help combat illegal items like poor milk quality.\",\"PeriodicalId\":252961,\"journal\":{\"name\":\"2022 International Conference on Electronics and Renewable Systems (ICEARS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Electronics and Renewable Systems (ICEARS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEARS53579.2022.9752269\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEARS53579.2022.9752269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

每个人的主要营养来源都来自牛奶。高质量的牛奶不应该掺假。在大多数情况下,当地的店主和超市都卖牛奶。然而,当地的牛奶商人在他们的产品中使用了大量的掺假物,永远改变了牛奶的成分。饮用变质的牛奶会导致严重的健康问题。因此,为了保证牛奶的质量,必须检测牛奶中是否存在必要的参数和添加的任何掺假物。在这里,传感器被用来估计几个因素,如pH值,浊度和颜色。同样,牛奶行业应该能够使用神经网络模型向管理部门传输牛奶质量的连续数据,以帮助打击劣质牛奶等非法物品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Quality Assessment and Grading of Milk using Sensors and Neural Networks
Every person's primary source of nutrition comes from milk. Adulterants should not be found in milk that is of high quality. In most cases, local shopkeepers and supermarket shops alike sell milk. Nevertheless, the local milk merchants utilise a slew of adulterants in their product, changing the composition of milk forever. The usage of degraded milk can lead to major health problems. The milk must therefore be tested for the presence of necessary parameters and any adulterants that have been added to it in order to ensure the quality of the milk. Here, sensors are employed to estimate several factors, such as pH, turbidity and colour. Similarly, the milk sector should be able to transmit the administration continuous data on milk quality during the production of milk bundles using the Neural Network model to help combat illegal items like poor milk quality.
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
期刊最新文献
The Solar Tracker Using Micro-controller "Core Strength" of Dance Lala Training Considering the Body Motion Tracking Video and Predictive Model Textile Antenna –Structure, Material and Applications Automated Classification of Atherosclerosis in Coronary Computed Tomography Angiography Images Based on Radiomics Study Using Automatic Machine Learning Cryptocurrency Exchange Rate Prediction using ARIMA Model on Real Time Data
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1