继第137届广交会首次设立服务机器人专区后，本届广交会延续这一亮点，来自46家行业领先企业的人 形机器人、外骨骼机器人、光伏清洁机器人等产品在海外客户面前亮相，引得海外买家赞叹不已。 突破不断！"中国智造"持续走实走深 在韩非子身后，不少海外客商正在围在展位前，等待一杯新鲜出炉的拉花咖啡。他透露，在工厂24小时 运转的情况下，机器人咖啡馆仍处于断货状态，新订单要等待至少45天。 第138届广交会第一期以"先进制造"为主题，再度设立服务机器人专区。随着展期过半，多家企业表示 他们已斩获不少订单，客户遍及全球。 "昨天就成交了三千万！" 10月17日上午，上海氦豚机器人科技有限公司创始人韩非子兴奋地表示。他 向第一财经记者透露，本届广交会开展仅三天，其成交额较今年4月举行的春季广交会已经实现了两位 数增长，客户来自欧洲、中东、澳大利亚和"一带一路"沿线国家等。 本届广交会上，他的公司带来了最新产品第六代cofe+机器人咖啡馆，具备"杯杯手工拉花、杯杯3D打印 图文"等功能。他介绍称，为了满足不同海外市场对咖啡的口味，他们与各国咖啡行业协会密切沟通、 聘请各国冠军咖啡师"陪练"机器人调试参数和口感，做到复刻全球19 ...

第138届广交会第一期以"先进制造"为主题，再度设立服务机器人专区。随着展期过半，多家企业表示 他们已斩获不少订单，客户遍及全球。 "昨天就成交了三千万！" 10月17日上午，上海氦豚机器人科技有限公司创始人韩非子兴奋地表示。他 向第一财经记者透露，本届广交会开展仅三天，其成交额较今年4月举行的春季广交会已经实现了两位 数增长，客户来自欧洲、中东、澳大利亚和"一带一路"沿线国家等。 本届广交会上，他的公司带来了最新产品第六代cofe+机器人咖啡馆，具备"杯杯手工拉花、杯杯3D打印 图文"等功能。他介绍称，为了满足不同海外市场对咖啡的口味，他们与各国咖啡行业协会密切沟通、 聘请各国冠军咖啡师"陪练"机器人调试参数和口感，做到复刻全球197个国家的咖啡配方。 继第137届广交会首次设立服务机器人专区后，本届广交会延续这一亮点，来自46家行业领先企业的人 形机器人、外骨骼机器人、光伏清洁机器人等产品在海外客户面前亮相，引得海外买家赞叹不已。 突破不断！"中国智造"持续走实走深 在韩非子身后，不少海外客商正在围在展位前，等待一杯新鲜出炉的拉花咖啡。他透露，在工厂24小时 运转的情况下，机器人咖啡馆仍处于断货状态，新订 ...

Core Viewpoint - The article discusses the advancements and applications of agricultural robots in various tasks such as crop phenotyping, field inspection, soil condition monitoring, weed removal, land leveling, and selective harvesting, highlighting the key technologies involved in these processes. Group 1: Information Acquisition Robots - Agricultural information acquisition robots are designed to collect data on crop development, growth status, pests, and soil properties, aiding in variety selection and field management decisions. The main technical challenges include developing cost-effective sensors and stable walking designs for field inspection platforms [2][3]. - Companies like Phenospex, LemnaTec, and RoboPec have developed automated phenotyping robots that can measure plant height, leaf area, and other parameters with high precision, achieving high-throughput analysis of 10,000 square meters daily [2]. - The TerraSentia robot from the University of Illinois uses machine vision algorithms for autonomous navigation and data collection in corn fields, monitoring plant vitality and estimating crop yields [3]. Group 2: Field Cultivation Robots - Field cultivation robots utilize autonomous navigation and precision control technologies to ensure consistent land preparation, precise sowing, and intelligent transplanting, which enhances crop yield and quality while reducing costs [7]. - The autonomous leveling robot developed by Lianzhinavigation uses high-precision satellite measurements to adjust the leveling blade height in real-time, ensuring accurate leveling [7]. - John Deere has created a laser-guided leveling machine that enhances operational efficiency through collaborative work among multiple machines [7]. Group 3: Field Management Robots - Field management robots perform tasks such as weeding, spraying, and fertilizing, focusing on precise application to improve the efficiency of pesticide and fertilizer use while reducing production costs [9]. - The AgBot II robot from Queensland University of Technology autonomously navigates fields for fertilization and weeding, achieving over 90% success in weed detection and classification [10]. - John Deere and BlueRiver have developed intelligent weeding robots that utilize advanced imaging technology for targeted herbicide application, significantly reducing pesticide usage [12]. Group 4: Harvesting Robots - Harvesting robots are designed to identify and selectively harvest crops using machine vision, addressing the challenges of automating the harvesting of crops that cannot be easily harvested on a large scale [21]. - The autonomous cabbage harvesting robot integrates navigation and vision technologies to align with crops for efficient harvesting, while CROO Robotics has developed a strawberry harvesting robot that utilizes flexible mechanisms for quick and accurate harvesting [21][23]. - Companies like Cerescon and AvL Motion have created selective harvesting robots for white asparagus, achieving high harvesting efficiency through advanced detection and execution technologies [23].

Core Viewpoint - The event "AI Empowering New Quality of Agricultural Productivity Seminar" successfully highlighted the integration of AI technology in agriculture, emphasizing its potential to enhance productivity, ecological value, and social awareness in the sector [3][4][22]. Group 1: Event Overview - The seminar took place on April 18 during the "2025 Food Expo · Pre-Expo · Agricultural Expo," with over 100 representatives from government, enterprises, academia, research, and media attending [4][5]. - The event aimed to explore how AI can coexist with technology and culture to activate agricultural productivity and create a new quality paradigm with Guangdong characteristics [6][19]. Group 2: Policy Alignment - The seminar aligns with national policy directions, particularly the recently issued "Plan for Accelerating the Construction of an Agricultural Power (2024-2035)," which emphasizes developing independent intellectual property rights in smart agriculture and enhancing the digital productivity of agriculture and rural areas [8][9][10]. Group 3: AI in Agriculture - Experts discussed the vast potential of AI in agriculture, highlighting its ability to transform traditional practices and improve efficiency [19][20]. - The event showcased various applications of AI in agriculture, including smart pig farming and intelligent weeding robots, which demonstrate significant advancements in agricultural practices [37][40]. Group 4: Expert Insights - Yang Ming, a prominent figure in the field, stressed the importance of accurately judging future trends and adapting quickly, noting the immense potential of biological perception intelligence in agriculture [25][28]. - The president of the Shenzhen Artificial Intelligence Industry Association emphasized the necessity of institutional innovation and policy support to foster smart agriculture [32][34]. Group 5: Practical Applications - Real-world applications of AI in agriculture were presented, such as the integration of AI in pig farming to automate breeding cycles and reduce management costs, and the use of intelligent weeding robots for efficient and environmentally friendly weed control [37][39]. - Guangdong Unicom's chief expert shared insights on building AI capabilities to drive digital transformation in agriculture, utilizing digital humans for marketing and promoting local agricultural products [42][45]. Group 6: E-commerce Integration - The integration of AI in e-commerce was highlighted as a key area for enhancing agricultural product sales, with examples of how AI can improve user experience and support small businesses [52][69]. - The transition from traditional e-commerce to AI-driven platforms was discussed, showcasing the potential for increased efficiency and user engagement [56][58]. Group 7: Future Directions - The seminar provided a platform for showcasing agricultural technology advancements and exploring future development directions, indicating that AI will play a crucial role in achieving high-quality agricultural development and supporting rural revitalization strategies [77][78].