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全球各国大田农业机器人发展现状
机器人圈· 2025-05-20 10:22
大田农业机器人是指在大田环境下从事 作物表型、农情巡检、墒情检测、杂草去除、土地平整、特种选择性作物 收获 等任务的自主作业装备,其关键技术包括精准导航、机器视觉、智慧决策、自主行走和智能作业控制等。 1 信息获取类机器人 大田信息获取类机器人主要完成 作物发育表型、作物长势、病虫草害、土壤理化性质等信息采集 ,可用于品种 选育、田间管理、适时收获等作业决策。其主要技术难点在于种类繁多的高性价比机载传感器研发,以及田间高 效巡检平台自适应快速稳定行走设计问题。 荷兰Phenospex、德国 LemnaTec 和法国RoboPec公司 开发了龙门式和悬臂式植物表型机器人,通过叠加3D和多 光谱信息准确测量最大植物高度、3D叶面积、叶片角度、光穿透深度等形态参数,具有高精准度、完全自动化、 不受照明条件影响、可实现昼夜扫描等优点,实现了每天10000平方米的高通量分析(图1a~1c)。 图3 TerraSentia作物巡检机器人 农情巡检方面,罗锡文、何勇团队利用无人机、结构光技术和地面无线传感器网络中继等方法采集农田信息和获 取植物三维形态结构,满足了农田信息数据采集和监控的生命周期长、传输数据可靠、覆盖面积广 ...
AI赋能农业新质生产力研讨交流活动成功举办
Nan Fang Nong Cun Bao· 2025-04-18 11:05
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].