System for predicting quality of e.g. red wine in wine industry, has machine learning model trained and evaluated using dataset, where dataset is varied with variety of wine samples reflecting various kinds, regions, and levels of quality
	MARUTHUPERUMAL S; SUKUMAR A; SANJAY M S; SAI T P; MUTHULAKSHMI K; KALIYAMURTHIE K P
	2023-10-16
专利权人	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期	2023-10-16
专利号	IN202341069691-A
成果简介	NOVELTY - The system has a data collection unit connected with a dataset of wine samples and related quality ratings. A machine learning model is trained and evaluated using the dataset. A data preprocessing unit realizes cleaning and preparation of wine dataset, where dataset is need to be divided into training and testing sets and numerical features are handled and normalized. An engineering significant elements are connected together for forecasting wine quality from the wine dataset. An exploratory data analysis (EDA) unit develops understanding of the data and pinpoint pertinent elements that could affect wine quality. USE - System for predicting quality of wine i.e. red wine, white wine in a wine industry. ADVANTAGE - The system increases speed and quality of performance and facilitates feature selection process to analyze impact of analytical tests to predict wine quality and controls production process to improve wine quality.
IPC 分类号	G01N-033/14 ; G06K-009/62 ; G06N-020/00 ; G06N-003/00 ; G06N-007/00
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/19777
专题	中国科学院新疆生态与地理研究所
作者单位	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式 GB/T 7714	MARUTHUPERUMAL S,SUKUMAR A,SANJAY M S,et al. System for predicting quality of e.g. red wine in wine industry, has machine learning model trained and evaluated using dataset, where dataset is varied with variety of wine samples reflecting various kinds, regions, and levels of quality. IN202341069691-A[P]. 2023.

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