食品大数据应用综述

大数据技术是指从各类数据中快速获得有价值信息的能力。大数据技术方兴未艾，为食品科学提供了一种全新的思维方式和分析方法，可以提升食品科学在食品追踪溯源、食物配对、食谱推荐、食品安全、食品生产管控、用户食品偏好、未来食品分析上的预测性以及准确性，然而在大数据应用系统中存在数据缺失、难以辨真伪等挑战。本文中阐述了食品大数据的应用现状，分析了其面临的挑战并讨论可行性解决方案，展望了食品大数据未来发展趋势。本文作者的目的是希望食品大数据领域研究者在本文研究基础上，继续从大数据角度为食品科学添砖加瓦，并根据未来食品发展趋势，实现食品科学提升。

A Review of Big Data Application in Food Industry

Big data technology refers to the ability to quickly obtain valuable information from various types of data. Big data technology is developing to make food science serve people better, which provides a new success insight and a scientific analysis strategy for food science, which can improve the performance of food science in food tracing, food matching, recipe recommendation, food safety, food producing management, food preference, and predictability and accuracy of food analysis in future. However, there are some challenges in big data application, such as data loss and difficulty to distinguish authenticity. This review introduced the application of big data in food industry, analyzed the challenges and the feasible solutions, and prospect tendency of food big data. Food scientists in the research area of food big data are encouraged to do further study based on our survey, contributing to food science from the perspective of big data and realizing the improvement of food science according to the future development trend of food.