腊月的京郊，首农翠湖工场的育种大棚外寒风凛冽，棚内却满是生机。阳光透过棚顶，洒在攀着支架的 番茄藤蔓上。绿叶掩映中，青红黄相间的果实缀满枝头，清甜的果香轻轻漾开。 记者来到这里时，中国科学院遗传与发育生物学研究所研究员许操和团队已经领着育种机器人开工了。 只见机械臂一抬一落，短短几秒，就对准番茄花蕊完成了一次授粉。 拨开一株番茄的枝叶，许操指着外露的花蕊柱头为记者详解：这台机器人有着不同以往的"眼"和"脑"。 高精度视觉识别系统可以帮它一眼锁定盛开的番茄花，同时可以实时采集大棚内的温度、光照、水肥、 土壤等数据，通过算法动态调整操作策略。 科研团队还通过基因编辑给番茄"量身定制"了花型，让柱头露在外面，更适配机械臂操作。 种子是农业的"芯片"。人工操作效率低、经验判断有偏差，再加上自然环境的变数和作物花型本身的限 制，总绕不开周期长、精度低、人力成本高、核心瓶颈难突破的坎儿。 "以前育一个新品种少则七八年，还得看天吃饭，遇上极端天气，一年的辛苦全打水漂；现在让机器人 和育种深度融合、同频发力，育种周期能缩短一半以上，抗逆性、产量、口感都能精准拿捏，这就是科 技给农业攒下的硬底气。"许操说。 走在大棚里，一边是 ...

新华社北京2月15日电 题：机器人成为育种"新农人" 新华社记者胡喆 "以前育一个新品种少则七八年，还得看天吃饭，遇上极端天气，一年的辛苦全打水漂；现在让机器人 和育种深度融合、同频发力，育种周期能缩短一半以上，抗逆性、产量、口感都能精准拿捏，这就是科 技给农业攒下的硬底气。"许操说。 走在大棚里，一边是机器人在忙着，另一边是几个年轻人凑在电脑前，盯着屏幕上跳动的数据进行调 试，手指在键盘上敲得飞快。 攀谈中得知，这群年轻人不少是"跨界选手"——有学刑侦的，把图像识别的本事用在帮助机器人看花辨 蕊上；有学核动力的，把机器人的运动轨迹、算法逻辑磨得越来越顺；还有学计算机的，把育种从播种 到授粉的各环节数据串成了线。 "育种不能单打独斗，把各行业技术融在一起，才能真正赋能农业。"一位来自上海交大的小伙子说，机 器人育种吸引了他们一头扎进大棚里。 团队里的"老把式"何亮深耕农业生产一线多年，对机器人搭档赞不绝口：它能连轴转、不歇气，把人从 高强度、重复性的育种操作中解放出来；它不再凭感觉、靠经验，让品种培育更精准…… 这群把论文写在大地上的科研人，可以为一个参数通宵达旦、反复实验，也可以为一个想法纵览全球、 激烈辩 ...

经营范围含一般经营项目是：农业科学研究和试验发展；软件开发；信息系统集成服务；物联网技术研 发；物联网技术服务；技术服务、技术开发、技术咨询、技术交流、技术转让、技术推广；计算机软硬 件及辅助设备零售；云计算装备技术服务；知识产权服务（专利代理服务除外）；企业管理咨询；国内 贸易代理；货物进出口；技术进出口；人工智能基础资源与技术平台；人工智能理论与算法软件开发； 工程和技术研究和试验发展；数据处理服务；互联网数据服务；网络与信息安全软件开发。（除依法须 经批准的项目外，凭营业执照依法自主开展经营活动），许可经营项目是：互联网信息服务；检验检测 服务；农作物种子经营；第一类增值电信业务；第二类增值电信业务；主要农作物种子生产。（依法须 经批准的项目，经相关部门批准后方可开展经营活动，具体经营项目以相关部门批准文件或许可证件为 准） 企业名称深圳市泽智谷智能育种科技有限公司法定代表人朱法明注册资本200万人民币国标行业科学研 究和技术服务业>研究和试验发展>工程和技术研究和试验发展地址深圳市福田区福保街道福保社区黄 槐道3号深福保科技工业园A、B栋B栋2层201D03单元-B258企业类型有限责任公司(法人独资 ...

Core Insights - The launch of the "AI + Livestock Breeding Collaborative Innovation Platform" by Shou Nong Food Group marks the entry of China's intelligent breeding into a "closed-loop era" [1] - The company has been deeply involved in the livestock industry for over 70 years, establishing a modern livestock breeding system covering pigs, cattle, chickens, and ducks, contributing significantly to national food security and agricultural modernization [1] - The introduction of gene editing and artificial intelligence in pig breeding signifies a shift from "experience-based selection" to "intelligent design" [1] Livestock Breeding Innovations - The birth of the world's first "5-gene edited disease-resistant pig" on August 30, 2023, represents a major innovation in disease-resistant breeding, transitioning from "single disease resistance" to "multi-disease resistance" [1] - In the dairy cattle sector, the Sanyuan Dairy Cattle Center has developed China's first genome selection breeding chip for Holstein cattle, improving the average milk yield from under 3 tons in 2000 to 9.9 tons in 2024 [2] - The Huadu Yuko Poultry Industry has successfully transitioned China's egg-laying hen breeding from "following" to "leading," with the cumulative promotion of the Jing series of egg-laying hens exceeding 7.8 billion [2] Data and Technology Integration - The establishment of the Beijing (Pinggu) Biological Seed Industry Innovation Center aims to support national agricultural technology projects and create a hub for agricultural innovation [4] - The data center for molecular breeding at Shou Nong focuses on collecting, storing, analyzing, and applying breeding data across various livestock species, enhancing data application and storage capabilities [3] - The integration of genomic and biological breeding technologies has significantly improved the economic benefits and market share of high-end duck breeds, with the "Jingdian Beijing Duck" achieving over 90% market share [3]

Core Insights - The launch of the all-chain robot breeder "Xiao Hai" and the "Hai Ba Facility" rapid wheat breeding commercialization service platform marks a significant breakthrough in China's intelligent breeding equipment and engineering applications [1][2] Group 1: Technological Innovations - The intelligent breeding team at the Hefei Institute of Material Science proposed the "biological breeding engineering" concept in 2022 to address low breeding efficiency and long cycles in the industry [1] - The "Hai Ba Facility" aims to drive mechanization, automation, digitalization, intelligence, and standardization throughout the breeding process through technological equipment [1] Group 2: Key Features of "Xiao Hai" - "Xiao Hai" covers critical aspects of the breeding chain, including germplasm creation, identification, and stability, serving as a miniature version of the "Hai Ba Facility" for technology testing and concept validation [2] - The core advantages of "Xiao Hai" include three acceleration capabilities: - In germplasm innovation, it utilizes energy-carrying ion mutation breeding technology empowered by AI, increasing gene resource discovery efficiency by over 10 times [2] - In germplasm identification, it focuses on creating a platform for adversity screening under extreme conditions, enabling precise intelligent control of crop environments [2] - In germplasm stability, it establishes a rapid breeding system for multiple crops and varieties within a year [2]

Core Insights - The recent capital increase and expansion activities by leading seed companies such as Suqian Agricultural Development, Guotou Fengle, Longping High-Tech, and Wens Foodstuff reflect a significant trend in the seed industry, driven by national seed industry revitalization strategies and the influx of long-term capital [1][2][4] - The capital influx is expected to accelerate technological development and support the goal of achieving self-sufficiency in seed sources, thereby fostering industry growth [1][4] Company Summaries - Suqian Agricultural Development plans to raise 1 billion yuan through capital reduction and expansion, aiming to leverage strategic investors to advance its seed industry strategy [1] - Guotou Fengle is set to issue up to 184 million shares at 5.91 yuan each, raising no more than 1.089 billion yuan to strengthen its capital base and focus on seed technology [1][2] - Longping High-Tech has been actively raising capital, with its subsidiary Lianchuang Seed Industry planning to raise 800 million yuan, following a previous 1.2 billion yuan increase from CITIC Agriculture [2][3] - Wens Foodstuff's former subsidiary, Zhongxin Seed Industry, raised approximately 2.33257 billion yuan through cash and equity investments, with a post-investment valuation of 10.057 billion yuan [2] Industry Trends - The seed industry is likened to the "chip" of agriculture, with its development directly impacting national food security, and the current capital influx aligns with both policy direction and market demand [2][4] - The urgency for technological iteration, particularly in gene editing and smart breeding, is a key driver for the current wave of capital increases, as high investment and long development cycles necessitate sustained capital support [3] - The capital structure optimization through these increases allows companies to focus on long-term research and development while enhancing governance and decision-making efficiency [3] Market Implications - The capital influx is facilitating domestic companies to expand internationally, with Longping High-Tech leveraging its capital strength to integrate the rice seed market and further develop corn and vegetable seed sectors, as well as exploring overseas markets [3]

Core Insights - The research focuses on the utilization of hybrid vigor in major crops, particularly rice, to enhance agricultural productivity and efficiency [4]. Group 1: Research and Development - Researchers are screening germplasm resources to identify superior traits for rice cultivation [1]. - DNA extraction from rice leaves is being conducted to facilitate genetic analysis and breeding programs [3]. - Seed purity testing results are being analyzed at a key laboratory dedicated to hybrid vigor in rice [4]. Group 2: Agricultural Practices - A small-scale isolation seed production trial is being conducted at a research base, which can accommodate approximately 800 demonstration varieties and 15,000 resource and small material plantings annually [6]. - Farmers are actively involved in harvesting and ensuring the quality of rice, as seen in a high-standard farmland in Hefei, where harvested rice is being carefully loaded [7]. Group 3: Technological Innovations - The Smart Breeding Accelerator Innovation Research Institute is utilizing controlled environment chambers to significantly shorten the growth cycle of crops, allowing for 4 to 6 generations of wheat to be produced in one year, compared to the traditional one generation per year [10].

Group 1 - The core theme of the global event on October 16, World Food Day, is "Hand in Hand to Advocate for Diverse Cuisine, Uniting Efforts to Create a Better Future" [4] - The concept of seed as the "chip" of agriculture is emphasized, highlighting its critical role in food production [4] - The advancements in breeding methods, such as the use of ion chambers, adversity chambers, and accelerated generation chambers, are transforming the breeding landscape [3] Group 2 - The accelerated generation chamber significantly shortens the growth cycle of crops, allowing wheat to produce 4 to 6 generations in one year, compared to the traditional one generation per year [2] - Researchers are actively engaged in scientific breakthroughs to enhance breeding techniques [3] - The innovation platform at the Hefei Institute of Physical Science is focused on the transformation of research outcomes into practical applications in intelligent breeding [4]

Group 1 - The core theme of World Food Day 2025 is "Hand in Hand to Advocate for Diverse Cuisine, Uniting Efforts to Create a Better Future" [2] - Seeds are referred to as the "chips" of agriculture, highlighting their critical importance in food production [2] - The Chinese Academy of Sciences' Hefei Institute of Physical Science is advancing intelligent breeding through innovative research platforms [2] Group 2 - The introduction of advanced breeding methods such as ion chambers, stress chambers, and accelerated breeding chambers is transforming traditional breeding practices [1] - The accelerated breeding chamber significantly shortens the growth cycle of crops, allowing for 4 to 6 generations of wheat to be cultivated in one year, compared to the traditional one generation per year [1]

Group 1: AI in Agriculture - Artificial intelligence is transforming agriculture by integrating into breeding, planting, and breeding processes, leading to a significant shift from traditional methods to data-driven decision-making [1][2][3] - The Chinese government has initiated the "AI+" action plan to promote the deep integration of AI with various sectors, including agriculture, aiming for a profound digital transformation [1][2] Group 2: Smart Breeding Techniques - High-throughput molecular breeding technology allows for the simultaneous detection of tens of thousands of samples, significantly speeding up the breeding process compared to traditional methods [2][3] - The breeding accelerator can reduce the growth cycle of crops like soybeans from 120 days to as little as 60 days, enabling multiple generations of breeding within a year [4][6] Group 3: Smart Farming Practices - Digital farm management tools are being utilized to optimize agricultural practices, providing real-time data on weather, soil conditions, and crop management [7][9] - AI-driven smart machinery is enhancing efficiency in farming operations, with automated systems for planting, harvesting, and soil management [10] Group 4: Fruit Harvesting Innovations - The introduction of robotic systems for apple picking is revolutionizing the harvesting process, making it safer and more efficient [11][12] - Advanced sorting technologies using AI are improving the quality control of harvested fruits, ensuring only the best products reach the market [13][15] Group 5: Intelligent Pig Farming - The modern "high-rise pig farming" model incorporates AI and IoT technologies to enhance efficiency and animal welfare, significantly reducing disease rates and improving meat quality [17][18][20] - AI systems are being developed to optimize feeding and health monitoring of pigs, allowing for personalized care and management [20] Group 6: Challenges and Future Directions - The integration of AI in agriculture faces challenges such as data interoperability, talent shortages, and high application costs, which need to be addressed for widespread adoption [21][22][24] - Collaborative efforts among government, research institutions, and industry are essential to create a supportive ecosystem for AI in agriculture, ensuring that innovations are effectively implemented [22][24]