关键词: 协同创新, 创新基础设施, 数字基础设施, 大数据

Abstract:

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.

Key words: collaborative innovation, innovation infrastructure, digital infrastructure, big data