原标题：粮食总产量连续两年站稳新台阶，人均占有量超五百公斤 一点四万亿斤折射大国农业韧性强 手中有粮，心中不慌。2025年我国粮食总产量达到14297.5亿斤，继2024年首次突破1.4万亿斤后，连续 两年站稳这一新台阶。 一项项"硬"政策为丰收保驾护航—— 中央一号文件连续多年把确保国家粮食安全摆在首要位置，党政同责考核持续发挥"指挥棒"作用，中央 财政专项资金精准投向防灾救灾、促进稳产等领域；面对干旱、洪涝等挑战，农业农村部门调度机具昼 夜抢收，分区域分灾种分作物制定防灾减灾技术意见……投入真金白银，扶持精准有力，粮食播种面积 连年保持增长；快速响应、高效协同的防灾减灾救灾机制筑牢坚强防线，粮食生产从"靠天吃饭"向"知 天而作"转型升级。 一项项"新"技术撑起丰收底气—— 宇树科技将四足机器人应用于智慧农业领域，中国科学院成功研制出世界首台可自动巡航杂交授粉的智 能育种机器人；优质高产水稻、优质专用小麦等生产急需的重大品种自主育成；大喂入量谷物联合收割 机、精量播种机等部署到生产一线……2025年，我国农业科技进步贡献率超64%，农业生产越来越 有"科技味"。 习近平总书记强调："我国有14亿多人口，粮食 ...

一点四万亿斤折射大国农业韧性强 手中有粮，心中不慌。2025年我国粮食总产量达到14297.5亿斤，继2024年首次突破1.4万亿斤后，连续 两年站稳这一新台阶。 习近平总书记强调："我国有14亿多人口，粮食安全必须靠我们自己保证，中国人的饭碗应该主要装中 国粮。" 作为世界第一大粮食生产国，我国始终把解决好本国人民的吃饭问题作为头等大事。 回望"十四五"，我国粮食年产量由2021年的13657亿斤增至2025年的14297.5亿斤，全球每5斤谷物就有1 斤多产自中国；我国人均粮食占有量由2021年的483公斤增至目前的500多公斤。 谷物基本自给、口粮绝对安全，托举起无数"小家"热气腾腾的安稳日子，夯实了中国这个"大家"蒸蒸日 上的发展根基，更在复杂多变的国际形势下，为全球粮食市场注入了稳定性和确定性，彰显了大国担 当。 粮食总产量连续两年站稳新台阶，人均占有量超五百公斤 1.4万亿斤，折射大国农业韧性愈来愈强。 "十四五"时期，我国粮食生产克服了外部环境变化、极端天气频发带来的不确定性，粮食总产量实现高 位稳产增产，背后是政策和科技的同频共振。 一项项"硬"政策为丰收保驾护航—— 中央一号文件连续多年把确 ...

文 |《瞭望》新闻周刊记者 吴慧珺 当人工智能走进城市治理的每一个角落，当氢能技术在高速路网落地应用，当量子科技从实验室走向民 生场景……一场以场景创新为核心的变革，正在中国大地上多点开花、纵深推进。 2025年11月，国务院办公厅印发《关于加快场景培育和开放推动新场景大规模应用的实施意见》，首次 在国家层面对场景培育和开放进行系统部署，标志着场景创新正式上升为国家战略，成为打通科技成果 转化"死亡之谷"、培育发展新质生产力的核心抓手。 场景创新既是技术落地的载体，更是整合资源、重构产业、集聚人才、升级治理的系统工程。从北京、 上海、深圳的前沿突破，到合肥、唐山的特色突围，从东部沿海的全域深耕，到中西部地区的差异化探 索——多城竞速的实践描绘出中国创新新图景，为高质量发展注入强劲动能。 在位于北京市的一个现代化商业温室中，智能育种机器人正在进行番茄自动杂交授粉操作（2024 年 11 月 29 日摄） 新华社发 城市场景创新"大比拼" 对企业而言，场景不仅是技术迭代的"试验场"，更是市场拓展的"突破口"。对城市而言，场景创新已成 为撬动能级跃迁的战略支点 作为连接技术与产业、打通研发与市场的关键桥梁，场景从单 ...

Group 1 - The income gap between urban and rural areas in Beijing continues to narrow, with rural residents' per capita disposable income growing at an annual rate of 7.2% during the 14th Five-Year Plan period [1][2] - The total book assets of rural collective economies in Beijing reached 1.1 trillion yuan, with over one-third of villages achieving profit distribution [1][2] - The agricultural and rural sectors in Beijing have shown a positive trend characterized by "two increases, three advancements, and two stabilizations," with significant improvements in agricultural production capacity and rural income growth [1][2] Group 2 - Basic public services in urban and rural areas are becoming more equitable, with initiatives in education, healthcare, and elderly care leading to better resource allocation [2] - The agricultural sector has seen continuous growth in grain production, projected to reach 576,000 tons in 2024, alongside significant advancements in agricultural technology [2] - Recommendations for enhancing rural economic development include promoting new cooperative models and expanding income channels for farmers through various partnerships and resource utilization [3]

Group 1: Beijing-Tianjin-Hebei Collaborative Development - The Beijing-Tianjin-Hebei collaborative development has entered a new decade, with significant progress in enhancing the capital's functions and urban development quality, leading to the acceleration of 100 projects in the Plain New City area [1] - The first batch of cultural relics relocation projects in the core area has reached a 100% signing rate, with the "relocation and improvement" initiative completing 94% of its annual tasks by the end of September [2][3] - The establishment of the Beijing-Tianjin-Hebei advanced manufacturing cluster alliance and the breakthrough of 36 key core technologies in the industrial chain indicate a growing integration and collaboration among the three regions [6] Group 2: Urban Development and Infrastructure - The completion of various urban projects, including the opening of the largest "green lung" park and the transformation of 234 overpass spaces, reflects the ongoing urban renewal efforts in Beijing [2] - The Plain New City has seen the implementation of 100 key projects, with 4 completed, 54 under construction, and 19 approved, enhancing the region's industrial competitiveness [6][7] - The establishment of new educational and healthcare facilities, such as the Beijing Fashion Institute's Tongzhou campus and the new Beijing Children's Hospital, supports the balanced distribution of quality resources [2] Group 3: Technological and Industrial Advancements - The establishment of the Beijing-Tianjin-Hebei Intelligent Connected New Energy Vehicle Technology Ecological Park aims to accelerate industrial agglomeration and technological innovation in the region [4][5] - The successful signing of 12 companies in the ecological park and the development of a cross-province autonomous driving highway highlight the collaborative efforts in advancing the automotive industry [4][5] - The introduction of innovative projects, such as the first intelligent robot 4S store and the brain science industrial cluster, showcases the region's commitment to fostering high-tech industries [7]

Core Insights - The development of the world's first intelligent breeding robot for automatic hybrid pollination and the conclusion of the first Smart Agriculture Innovation Competition highlight the increasing application of technological innovation in green agriculture [1] - Technological advancements are transforming agriculture from traditional methods to modern, green, and intelligent practices, significantly improving fertilizer utilization rates and increasing the number of recognized green agricultural products [1] Group 1: Technological Innovations in Agriculture - The fertilizer utilization rates for rice, corn, and wheat in China are projected to reach 42.6% in 2024, an increase of 10.4 percentage points compared to 2015 [1] - The total number of recognized green, organic, and geographical indication agricultural products has reached 82,000, reflecting a 105% increase since 2019 [1] - The advancements in technology have led to a reduction in soil and water pollution, demonstrating a balance between green agricultural production and environmental protection [1] Group 2: Challenges and Future Directions - Despite progress, China's green agriculture technology level remains behind that of European and American countries, facing issues such as reliance on foreign seed sources and research instruments [1] - A multi-faceted approach is needed to address these challenges, including enhancing the intensity of technological investment and integrating green agricultural technology into national high-tech industry directories [2] - Promoting a good innovation ecosystem is essential for the conversion of technological innovations into practical applications, which includes building a supportive environment for industry, academia, and research collaboration [2]

Core Insights - The development of the world's first intelligent breeding robot for automatic hybrid pollination marks a significant advancement in agricultural technology, alongside the conclusion of the first Smart Agriculture Innovation Competition and the showcasing of over 600 agricultural technology achievements at the China Beijing Seed Industry Conference [1] Group 1: Technological Advancements in Agriculture - Technological innovation is driving the transformation of agriculture from traditional methods to modern, green, and intelligent practices, impacting the entire food security chain [1] - In 2024, the fertilizer utilization rates for rice, corn, and wheat in China are projected to reach 42.6%, an increase of 10.4 percentage points compared to 2015 [1] - The total number of recognized green, organic, and specialty agricultural products in China has reached 82,000, reflecting a 105% increase since 2019, indicating a significant reduction in soil and water pollution from agricultural production [1] Group 2: Challenges and Future Directions - Despite advancements, China's green agriculture technology level remains relatively weak compared to Europe and the United States, with ongoing issues related to seed sources and research instruments [1] - A multi-faceted approach is needed to enhance green agricultural technology innovation, including integrating green agricultural products into national high-tech industry directories and providing tax incentives and subsidies [2] - Promoting a favorable innovation ecosystem is essential for the conversion of technological innovations into practical applications, which includes building a collaborative environment among industry, academia, research, and capital [2]

Core Insights - The application of artificial intelligence (AI) in agriculture is rapidly advancing, with various innovations such as four-legged robots for smart farming and automated pollination robots being introduced [2][3] - The Chinese government has issued policies to accelerate the digital transformation of agriculture, emphasizing the integration of AI in breeding systems and agricultural management [2][4] Group 1: Current Developments in Smart Agriculture - Companies are utilizing AI technologies, such as drones and sensors, to enhance crop monitoring and pest control, leading to a reduction in pesticide costs by 10% to 20% [3] - The implementation of the "National Smart Agriculture Action Plan (2024-2028)" aims to promote smart agriculture through policy support, technology innovation, and service enhancement [4][6] Group 2: Benefits of AI in Agriculture - AI applications in agriculture are automating repetitive tasks like pesticide spraying and harvesting, which traditionally relied on human labor [4] - The use of IoT data allows farmers to make precise decisions regarding fertilization, irrigation, and crop management, thereby reducing costs and increasing efficiency [4][6] Group 3: Challenges Facing AI Adoption - There are significant challenges in data acquisition and sharing, with issues such as data fragmentation and lack of standardization hindering model training and application [7] - High costs of technology implementation and insufficient infrastructure in rural areas limit the widespread adoption of AI solutions [7] Group 4: Future Trends and Recommendations - By 2028, it is expected that the integration of information technology in agriculture will significantly enhance productivity and efficiency, with a target of achieving over 32% informationization in agricultural production [8] - The development of customized AI solutions tailored to the needs of smallholders is recommended to facilitate technology adoption and improve agricultural outcomes [9]

Group 1 - The article highlights 11 research papers published in the prestigious journal Cell, with 6 authored by Chinese scholars, covering topics such as abscisic acid receptors, three-dimensional imaging, intelligent breeding robots, mitochondrial protein import, aging, and hair growth mechanisms [3][4][5][8][9][10][13][14][18][20][25][28][29][30][33]. Group 2 - A study from South China Agricultural University identifies the nitrate receptor NRT1.1B as a receptor for abscisic acid, revealing its role in integrating nitrogen nutrition and stress signals in plants [5][8]. - Tsinghua University's research introduces a novel method called VIVIT for achieving high-fidelity three-dimensional imaging of biological tissues, overcoming significant technical challenges in tissue transparency [10][13]. - The first intelligent breeding robot capable of automatic cross-pollination has been developed, integrating biotechnology and AI to enhance breeding efficiency and reduce costs [14][18][19]. - Research from Caltech elucidates the co-translational import of mitochondrial proteins, providing direct evidence of the timing and specificity of this process [21][24]. - A study from Altos Labs discusses "mesenchymal drift" in aging and disease, proposing partial reprogramming as a method to reverse this phenomenon [25][28]. - Research from Beijing Life Sciences Institute reveals that the membrane potential of fibroblasts is a key regulator of hair regeneration, with implications for treating hair loss [30][33].

Group 1 - AI technology is rapidly transforming various industries, enhancing efficiency and reducing costs through digital transformation [3][10] - In the industrial sector, AI models are used to predict demand fluctuations based on multi-source data, significantly shortening product inventory cycles and improving operational efficiency [3] - In agriculture, AI has penetrated multiple stages including breeding, production, processing, supply, and sales, facilitating a shift from traditional farming to management roles for agricultural workers [5][6][7][8] Group 2 - In the breeding stage, intelligent breeding robots equipped with domestic AI models enable autonomous field observation and gene analysis, significantly shortening the cultivation cycle of high-yield, disease-resistant varieties [6][9] - In the production stage, AI-driven agricultural machinery, powered by Beidou, 5G, and AI algorithms, allows for autonomous operations, enhancing efficiency in pest diagnosis and disaster monitoring [7][9] - In the supply and sales stage, AI algorithms manage the entire process from fruit grading and sorting to channel distribution and order inventory matching, thereby reducing marketing costs [8][9] Group 3 - The financial industry, being data-intensive, is actively exploring the application of generative AI across various business scenarios, including intelligent services, investment research, financial risk control, and production empowerment [10] - By 2030, it is projected that China's AI adoption rate will exceed 30%, contributing 0.2-0.3 percentage points to the country's GDP growth [10] - Investors interested in AI development may consider focusing on the Sci-Tech Innovation Board AI ETF and its related funds, which track emerging AI enterprises [10]