摘要
智能感官分析技术是茶叶品质检测领域中的一项新兴技术,它通过模拟人的感官实现对于茶叶品质的快速检测和判别。数据统计分析作为智能评价中的核心部分,决定着评判结果的高效性和准确性。本文重点剖析统计分析方法(数据降维、模式分类、信息融合)在茶叶品质智能评价中的应用现状,并对统计分析技术的发展和进一步研究进行展望。
Intelligent sensory analysis is an emerging technology in tea quality evaluation. It can achieve rapid detection and classification of tea quality by simulating human senses. Statistical data analysis, as the core of intelligent evaluation, determines the efficiency and accuracy of evaluation results. This paper is focused on reviewing the application of statistical analysis techniques(data dimensionality reduction, pattern classification, and information fusion) in intelligent evaluation of tea quality and future prospects and further research directions of statistical analysis technique are also proposed.
出处
《食品科学》
EI
CAS
CSCD
北大核心
2015年第7期223-227,共5页
Food Science
基金
国家高技术研究发展计划(863计划)项目(2011AA1008047)
国家自然科学基金青年科学基金项目(31201358)
关键词
茶叶品质
数据统计分析
数据降维
模式分类
信息融合
tea quality
statistical data analysis
data dimensionality reduction
pattern classification
information fusion
