"Yuan Daosiyuan" hybrid rice intelligent breeding platform Changsha releases AI-empowered breeding innovation

China News Service, Changsha, October 11 (Reporter Tang Xiaoqing) The "Yuandaosiyuan" hybrid rice intelligent breeding platform was officially launched in Changsha on the 11th. This means that Hunan hybrid rice breeding bids farewell to the traditional experience model and enters a new development stage of data-driven and intelligent decision-making.

In July this year, the Institute of Automation of the Chinese Academy of Sciences, Beijing Zhongke Wenge Technology Co., Ltd. and the Hunan Academy of Agricultural Sciences formally signed a cooperation agreement. The three parties will launch joint research around "artificial intelligence + agricultural scientific research".

Yu Yinghong, president of the Hunan Academy of Agricultural Sciences, said that the successful completion and release of the "Yuandao Siyuan" platform is a key measure for Hunan Province to implement the national seed industry revitalization action and promote the digitalization and intelligent transformation and upgrading of the breeding industry. The platform remembers the historical contribution of Academician Yuan Longping with the meaning of "drinking water and remembering the source", inherits and promotes Academician Yuan Longping's scientific spirit, and transforms data resources and intelligent technology into real productivity of breeding innovation.

Bai Lianyang, an academician of the Chinese Academy of Engineering, said in his speech that although the platform is currently a preliminary version, it has taken a key and gratifying step in AI-empowered hybrid rice breeding. He hopes that the team will use this as a starting point to continue to iteratively improve the platform's functions, promote the deep integration of artificial intelligence and breeding practice, and provide solid support for innovation in the seed industry.

It is understood that the platform integrates four functional modules: question and answer assistant, breeding resource library, knowledge map, and literature library, covering hybrid rice breeding information retrieval, data query and intelligent decision-making needs. At present, the platform has been used in third-generation hybrid rice breeding and has achieved good results.

Li Jiayang, an academician of the Chinese Academy of Sciences, pointed out that the platform can deepen collaborative innovation, connect data, algorithms, computing power and talents from universities, institutes, and enterprises, and break information islands; building a public platform will not only serve Hunan, but also serve the country and the world to create important public goods in the field of rice intelligent breeding.