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生物技术深度融合人工智能 中国研发世界首台智能育种机器人
Zhong Guo Xin Wen Wang· 2025-08-12 01:52
Core Insights - Chinese scientists have achieved a significant breakthrough in smart breeding technology by integrating biotechnology (BT) and artificial intelligence (AI), introducing the concept of crop-robot collaborative design and creating the world's first intelligent breeding robot named "GEAIR" [1][4]. Group 1: Research Achievements - The research led by the team from the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences has successfully developed a "robot-friendly" structural male sterility line through gene editing, which significantly reduces breeding costs, shortens breeding cycles, and improves breeding efficiency [1][4]. - The research has been recognized as an innovative breakthrough, showcasing the effective integration of BT and AI to solve major scientific and industrial challenges, with broad application prospects [3][4]. Group 2: Technological Innovations - The team has created an "intelligent robot breeding factory" by integrating the intelligent breeding robot with new-generation breeding technologies, enabling rapid customization of superior varieties [4]. - The "GEAIR" robot system has been applied to soybean breeding, achieving the rapid creation of structural male sterility lines, which is expected to significantly enhance soybean hybrid breeding and yield in China [4]. Group 3: Future Developments - The research team is advancing the integration of BT and AI across the entire breeding-production-harvesting-tracing industry chain, working on the next version of the intelligent breeding robot "GEAIR 2.0" and planning to expand its application to various crops [4]. - The project marks a significant step in establishing a closed-loop technology system for intelligent robot breeding with independent intellectual property rights, indicating a major application prospect for AI-driven scientific research [4].
世界首台自动巡航杂交授粉育种机器人研制成功
Core Insights - Significant breakthroughs have been achieved in the field of intelligent breeding in China, integrating biotechnology and artificial intelligence to enhance crop breeding processes [1] - The world's first automatic cruising hybrid pollination breeding robot, named "Ji'er," has been successfully developed, addressing challenges in hybrid breeding [1] - This innovation is expected to significantly reduce breeding costs, shorten breeding cycles, and improve breeding efficiency [1] Industry Impact - The integration of AI technology in agricultural practices represents a transformative shift in the breeding industry, potentially leading to increased productivity and sustainability [1] - The publication of the research findings in the journal "Cell" highlights the importance of this advancement in the scientific community and its implications for future agricultural technologies [1]
【科技日报】自动巡航杂交授粉育种机器人“吉儿”诞生
Ke Ji Ri Bao· 2025-08-12 00:40
Group 1 - The core achievement in the field of intelligent breeding in China is the development of the world's first automatic hybrid pollination breeding robot named "Ji'er," which integrates biotechnology and artificial intelligence to facilitate robotic operations in crop breeding [1][2] - This breakthrough addresses significant challenges in hybrid breeding, leading to reduced breeding costs, shortened breeding cycles, and enhanced breeding efficiency [1] - The research team has created a "smart breeding factory" that combines breeding robots with cutting-edge technologies such as domestication and breeding accelerators, enabling rapid customization of superior crop varieties [1] Group 2 - The innovative breeding model established by the research team, which combines biotechnology, artificial intelligence, and robotic labor, signifies the construction of a complete intelligent breeding and seed production technology system in China [2] - The research has been highly praised by reviewers as a groundbreaking innovation that exemplifies the intersection of biotechnology and artificial intelligence in solving major scientific and industrial challenges, showcasing vast application potential [2]