中国农业科技导报2024，Vol.26Issue(10)：1-10,10.DOI:10.13304/j.nykjdb.2024.0473
AI for Science在农业领域的应用研究
Reaearch on the Application of AI for Science in Agricultural Field
摘要
Abstract
In recent years,artificial intelligence(AI),driven by the three engines of algorithm,data and computing power,has developed rapidly,and achieved many remarkable achievements in frontier fields,such as AlphaFold3,nuclear fusion intelligent control,and novel coronavirus drug design.AI-driven scientific research(AI for Science,AI4S)has solved the bottleneck of scientific data analysis with high dimensions,large scale and span,and limited scientific experiments that restrict large-scale interdisciplinary scientific research activities,and promotes scientific research towards a new model with"platform collaboration"as the main feature.This paper reviewed the international situation of AI4S,the current development status of China's smart agriculture and the practical dilemma,and combined literature,statistical data,and investigation case analysis to put forward the practical path to promote AI4S application in China's agricultural development.AI4S would become a powerful engine to transform agricultural production from the traditional model of"looking at the sky,looking at the land and looking at the crops"to models such as intelligent perception,intelligent decision-making and visual management,and promote scientific research from the single-fighting"small farmer's workshop"model to the platform scientific research of"Android model".Researchers could share basic computing power,models,algorithms,databases and knowledge bases.On this platform,the research and development and application of the whole life cycle of the agricultural industry chain would be focused on,and scientific research innovation and application of results be accelerated through the"snowball effect".Using artificial intelligence technology to realize digitalization,networking and intelligence of agricultural production,and support online iteration of theory-experiment.It is also necessary to improve the high-quality agricultural science digital resource system,appropriately advance AI key technologies and infrastructure,optimize the cross-innovation research ecology under the new paradigm,formulate agricultural data management norms,strengthen policy creation and supporting policy mechanisms to break through data barriers and to promote artificial intelligence+agriculture,and to strengthen agricultural science and technology innovation from the source.关键词
AI for Science/人工智能/智慧农业/科研范式Key words
AI for Science/AI4S/artificial intelligence/smart agriculture/scientific research paradigm分类
农业科技引用本文复制引用
方松,姜丽华,曹景军,王骁,邱明慧,田枭艺..AI for Science在农业领域的应用研究[J].中国农业科技导报,2024,26(10):1-10,10.基金项目
新一代人工智能国家科技重大专项(2022ZD0119500). （2022ZD0119500）
