文案丨喻淑琴 李志敏 海报丨王冰 余果 总统筹丨杜弘禹 袁丁 指导丨丁青云 曹军 选题/执行统筹丨喻淑琴 李振 拍摄/剪辑统筹丨曾婷芳 朱景辉 设计/分发统筹丨林军明 谭婷 张楠 （原标题：AI农业 究竟有多"野"丨粤来粤好百千万） 在位于广州增城的全球首个水稻无人农场，AI与农机，正上演现代农业"科幻大片"。（详情请点击视频 ↑↑） 总策划丨邓红辉 贾肖明 拍摄丨游小丫 唐瑶 刘聪 谢怡菲 剪辑丨柳润瑛 王学权 俎国 何志佳 出品丨南方财经全媒体集团 21世纪经济报道 联合制作丨广东省科技厅 制作丨品粤工作室 学习经济工作室 创意工作室 ...

以下文章来源于乌鸦智能说 ，作者智能乌鸦 乌鸦智能说 . 人人都能读懂的AI商业 来源丨 乌鸦智能说（ID： wuyazhinengshuo ） 作者丨 朗朗 图源丨Midjourney AI已经开始对农业"动手"了。 上周，一家叫Orchard Robotics的AI果园机器人公司拿到了2200万美元的融资，相当于1.58亿人民币。 这公司做的业务很有意思，用AI给果树做"体检"。 简单来说，它们在拖拉机上装摄像头，每秒抓拍100张果树图像，然后AI实时分析每颗果实的大小、颜色和健康度。 这些数据会被上传到一个叫Orchard的云端软件里。它相当于是农场的"决策中枢"，会告诉种植者：哪片葡萄藤需要多施点肥， 哪棵树该修剪，哪里需要疏果。 据说，这种检测的误差只有5%，比传统方式准2000倍。现在，Orchard已经在美国一些最大的苹果和葡萄农场中使用，并帮助 了某大型果园提升亩产12.6%。 笔者注意到，AI在农业领域跑得飞快，除了Orchard外，不少公司还拿到了大额融资，包括AI预测种子Inari（7.2亿美金）、AI基 因预测BensonHill（超2亿美金）、AI除草机Ecorobotix（5200 ...

2016 年，薛素文带领团队开始创业，手里攥着的不是现成的商业模式，而是一句听起来像开玩笑的目标：让农业变得更加时尚有科技感一些。 9 年过去，这个作为起点的想法，竟支撑起一个独角兽的诞生：农信互联作为数智农业领域的独角兽企业，其核心子公司 " 农信数智科技有限公 司 " 打造的 " 猪联网 " 平台，在畜牧产业数字化市场份额超 35%，稳居行业第一，并且在 2024 年底拿到了近 3 亿元的融资。 薛素文从猪联网开始入手，最早用互联网手段帮客户管猪养猪，随后，从生产管理扩展至线上交易场景，再拓展到上下游全产业链的数智化服 务。薛素文非常庆幸，因为到今天，改造农业的工具变多了，以前是互联网，而今还有大数据、AI 大模型、机器人。" 很兴奋，觉得有无限可 能。" 基于 AI 的数智增值服务，让公司的客户续费率提高了。" 前几年客户的续费率通常在 75% 左右徘徊，现在是 87% 了，这里面肯定有数智增值服 务的功劳 " 薛素文说，。 在本次铅笔道访谈中，薛素文分享了养猪等产业的新兴机会，以及在 AI、机器人的新技术冲击下，产业的最新应用实践，以下是部分精华观点。 1、养猪产业的客户刚需是什么？ 答：猪场最大的刚 ...

Core Viewpoint - The article emphasizes the critical importance of rice in Japan's political landscape, likening it to a "third rail" that politicians must avoid disrupting, as it directly impacts food security and voter sentiment [1][2]. Group 1: Rice Production Challenges - Japan's rice production system faces significant challenges, including an aging farmer population, with many over 65 years old and lacking successors [2][3]. - The fragmentation of farmland limits the ability to invest in automation and AI technologies, making it difficult to modernize the agricultural sector [2][3]. - The government has historically set rice prices to protect farmers, but this has not led to profitability, and past policies have failed to adapt to climate change impacts [2][3]. Group 2: Policy and Market Implications - The reliance on large rice reserves to stabilize market prices is becoming unsustainable due to weak political leadership, resulting in empty supermarket shelves and soaring rice prices [2]. - The rising cost of rice has become a focal point for voters, prompting the Prime Minister to appoint a new minister to reform the rice system, although there are concerns about the potential negative impact on Japan's 2,500-year-old rice culture [2][3]. - The agricultural ministry faces a complex dilemma of maintaining low rice prices while ensuring farmer income and food security, complicating policy decisions [3]. Group 3: Recommendations for Reform - Instead of paying farmers not to cultivate rice, there is a need to encourage the consolidation of small plots into larger, more efficient operations, supported by technology and financial assistance [3]. - Accelerating breeding research to develop high-quality, heat-resistant rice varieties is essential to address climate change challenges and protect premium production areas [3]. - Reforming the rice system requires careful consideration, as any misstep could have severe consequences for Japan's food culture and security [3].

2025.06. 24 丰农控股集团总农艺师王兴林表示，近五年时间，团队在AI方面的实践包括了图像识别、病虫害管 理、生产力评估、农场综合管理、精准施肥用药等方面。我国农业文明虽然悠久，但工业化冲击对农 业发展带来的提升空间，目前来看仍然很大。也因此，丰农的定位仍以农业服务为核心，通过AI工 具属性来服务农业发展。 AI农业智能化提升慢的原因可以归结为三大方面：数据基础薄弱、高成本与低ROI预期、场景复杂性 与信任壁垒。由于土壤、气候、作物品种多样等原因，农业数据分散，农业相关数据集不足以训练可 靠AI模型，且缺乏实时数据收集能；智能农机、无人机等农业AI设备成本高昂，农业行业投资回报 周期长；从业者更信任经验，将AI视为辅助工具。 本文字数：1342，阅读时长大约3分钟 作者 | 第一财经 吕倩 6月24日，中金公司研究部发布的研报显示，AI渗透需长期演进，尤其从技术萌芽到企业大规模部署 阶段，会经历资源分配、用户习惯转变、技术与场景打磨、产品迭代等节点，可能存在短期阵痛。今 日收盘，AI应用(8841683)指数收涨2.55%。一方面，大模型落地行业应用进展迅速，但同时，部分 领域AI渗透率仍增长缓慢。A ...

Core Insights - The report from CICC indicates that AI penetration in agriculture requires long-term evolution, facing challenges such as resource allocation, user habit changes, and technology refinement [1] - AI applications in agriculture are currently in the experimental demonstration phase, with slow penetration rates in certain areas despite rapid advancements in large model applications [1] - The complexity of agricultural environments and the need for precise recommendations pose significant challenges for AI models, which must adapt to various conditions [7][8] Industry Overview - The agricultural sector has seen the emergence of multiple large model products, with competition centered around data accuracy and relevance to customer needs [4] - The investment landscape in smart agriculture has been active from 2015 to 2022, yet only 20-30 companies receive funding each year, indicating a selective investment environment [8] - The Ministry of Agriculture and Rural Affairs has set a goal for agricultural production informationization to reach over 32% by the end of 2028, highlighting the importance of national policies in fostering AI agricultural development [8] Challenges in AI Agriculture - Key challenges hindering AI adoption in agriculture include weak data foundations, high costs, low ROI expectations, and trust barriers among practitioners [1] - The diversity of agricultural data due to varying soil, climate, and crop types complicates the training of reliable AI models [1] - The complexity of agricultural environments limits the generalizability of AI solutions, making it difficult to apply models developed in one context to another [7][8]

Group 1 - The article highlights the growing interest in AI agriculture in Xinjiang, which is seen as an important "testing ground" for AI technology in agriculture due to its vast arable land and potential for new farmland [1][2] - AI technology is being widely applied in agriculture, with core advantages including deep learning and big data analysis for optimizing planting decisions, automating workflows, and efficiently managing environmental resources [1][2] - Companies like Beijing Daqiao Digital Technology Co., Ltd. and Qingdao Wotu Intelligent Technology Co., Ltd. are leading the development of AI agricultural solutions, including smart agricultural robots and integrated data analysis systems [1][2] Group 2 - Beijing Daqiao has established foundational infrastructure for AI agricultural services in key cotton-producing areas of Xinjiang, such as Aral City, including water and fertilizer integration facilities and data collection networks [2] - Qingdao Wotu focuses on electric smart agricultural robots, which cover the entire process of orchard management, including 15 core tasks such as weeding, precise spraying, pruning, and fertilization [2] - Experts emphasize the need for continuous evolution of smart agricultural technology in China, advocating for a development path that includes technological breakthroughs, product research, integrated applications, and industry cultivation [2]

Group 1 - A total of 75 investment projects were signed during the first day of the Food Expo, with a total investment amount of 37.22 billion yuan, focusing on modern food, intelligent manufacturing, and new materials [1][2] - The city signed a friendly city agreement with Urumqi, establishing a new bridge for cooperation between Henan and Xinjiang [2] - Significant international trade projects were initiated, including a beef trade project with Brazil's Merihua Company and an ice cream procurement project with Belarus's Mogilev region [2] Group 2 - A cooperation agreement was signed for the Henan Modern Food Industry Development Fund, aimed at providing financial support for the food industry [2] - Multiple cooperation projects were established with JD Group, marking the beginning of comprehensive collaboration across various sectors including logistics and technology [2] - Talent projects such as the AI Agricultural Academy and high-end food projects will enhance technological support for creating a healthy and nutritious food supply [2] Group 3 - The city government emphasized the importance of service in project implementation, planning to form a dedicated team to provide full lifecycle support for signed projects [2] - The government aims to create a market-oriented, legal, and international business environment to attract global investors [2]