食品科学大数据与人工智能技术

Big Data of Food Science and Artificial Intelligence Technology

大数据技术是指从各类数据中,通过不同分析方法和工具获取有价值信息的能力。人工智能技术是指研究、开发用于模拟、延伸和扩展人的智能的理论、方法、技术。大数据技术与人工智能技术相辅相成,大数据是人工智能的基石,人工智能是大数据应用的体现。食品科学大数据与人工智能则是将大数据技术、人工智能技术与食品科学交叉融合。将人工智能与大数据技术融合到传统食品科学领域中,可以创新食谱并智能推荐,追踪溯源食品,分析用户口味偏好,监控食品安全等,使得食品科学获得更大发展,并为人们提供更好的服务。本文阐释当前食品领域大数据与人工智能交叉融合发展现状,分析其面临的挑战,讨论可行性解决方案,展望食品科学大数据与人工智能技术未来发展趋势。本文通过抛砖引玉,旨在吸引更多的大数据和人工智能技术与食品科学相结合,从而更好地预见并服务于未来食品的发展。

The big data technology indicates that we can obtain the valuable information from data with different analysis methods and tools.The artificial intelligence refers to develop and research the theory and method to mimic or expand the intelligence of humans.Big data technology and artificial intelligence technology complement each other.Big data is the cornerstone of artificial intelligence,and artificial intelligence is the applications of big data.Big data and artificial intelligence of the food science are the intersection of big data technology,artificial intelligence technology and food science.The integration of artificial intelligence and big data technology into the field of traditional food science creates new recipes and intelligently recommend,tracks and traces food,analyzes user taste preferences and monitors food safety,etc.,so that food science obtains greater development and provide the better service for humans.This paper demonstrates the current developing status of the intersection of big data and artificial intelligence in the food field,analyzes the challenges when applying the big data and artificial intelligence into the food domain,discusses feasible solutions,and does looking forward to the future development trend of big data and artificial intelligence in food science.The purpose of this article is to attract more integration of big data and artificial intelligence technology with food science,and to improve food science development according to the direction of food science to provide better service for the people.