农业农村科研协同创新基础设施总体框架与战略价值

党中央国务院高度重视农业科技创新，把解决农业“卡脖子”问题放在国家战略高度，协同创新是解决“卡脖子”问题行之有效的路径。从构建农业农村协同创新基础设施的政策背景和国内外研究现状出发，深度剖析我国农业科技创新面临的农业科研大数据、高性能计算、原创算法模型、数据应用创新和数据安全防护等瓶颈问题，基于人工智能、区块链、云计算、大数据等先进信息技术构建“数据”+“算法”+“算力”深度融合的新型基础设施，构建了服务多学科交叉融合的农业农村科研协同创新平台，简化并加速人工智能（AI）模型和数据的迭代和流动，实现大规模异构计算资源调度技术、多模态数据融合方法和友好的开发支撑环境。该平台致力于协助不同学科领域的科研工作者，将数据、模型、算法和算力等资源深度整合，打造即开即用的交互式云端开发环境，应用到教学、科学研究、科学数据集和算法研究等多个场景，形成人工智能融合多学科的生态闭环。

Overall Framework and Strategic Value of Agricultural and Rural Scientific Research Collaborative Innovation Infrastructure

The CPC Central Committee and the State Council attach great importance to agricultural scientific and technological innovation. The “bottleneck” problem in agriculture has become a national strategy. Collaborative innovation is an effective way to solve the “bottleneck” problem. It faces the main battlefield of modern agricultural construction， the resolution of major problems facing the development of agricultural industry and the breakthrough of core technology. The construction and development of agriculture and rural areas put higher demands on scientific and technological innovation. As an important organizational form of agricultural science and technology innovation， collaborative innovation will play a pivotal role in the construction of innovative countries in China， and it is also of great significance for the construction of modern agricultural research institutes. Starting from the policy background of building agricultural and rural collaborative innovation infrastructure and the research status at home and abroad， this paper deeply analyzed the bottleneck problems faced by China’s agricultural scientific and technological innovation， such as agricultural scientific research big data， high-performance computing， original algorithm model， data application innovation and data security protection， and built an emerging agricultural collaborative innovation infrastructure of “data” + “algorithm” + “computing power” based on advanced information technologies such as artificial intelligence （AI）， blockchain， cloud computing and big data. Furthermore， a collaborative innovation platform for agricultural and rural scientific research was constructed to serve the interdisciplinary integration. The platform simplified and speed up the iteration and flow of AI models and data， and implemented large-scale heterogeneous computing resource scheduling technology， multi-model data fusion method and friendly development support environment. The platform was dedicated to assist researchers in different disciplines to deeply integrate data， models， algorithms and computing power resource management. It created an out-of-the-box interactive cloud development environment， which was applied to the teaching， scientific research， scientific data sets and algorithm research and other scenarios， and formed an ecological closed-loop of artificial intelligence integration with multiple disciplines. It was of great strategic significance to enhance the original innovation ability in China’s agricultural and rural fields， realize the leap in key fields， ensure the long-term development of science and technology， and transform from a large agricultural country to an agricultural power.