广东优质丝苗米征服国 际味蕾_南方+_南方plus 台的全程数字化管理系 统表示浓厚兴趣。罗锡 文院士团队详细讲解了 智能农机的高精度导 航、作物生长模型等核 心技术，获得与会代表 高度赞扬。 日前，受中国工程院院 士、华南农业大学工程 学院教授罗锡文与广东 万绿智慧农业科技有限 公司的联合邀请，纳西 鲁·阿多·巴耶罗国王率领 的尼日利亚政商代表 团，以及印度尼西亚总 统咨询委员会副主席、 UICI大学校长LAODE MASIHUKAMALUDDIN 率领的印尼代表团，近 日来到河源市东源县柳 城镇参观万绿智慧无人 农场，并与农场科研团 队进行深层交流，现场 观摩中国智慧农业的科 技创新成果和广东杂交 优势水稻品种的田间表 现。 在广东万绿智慧公司农场观摩。 在农场核心示范区，罗 锡文院士向到访代表团 详细介绍了华南农业大 学国家植物航天育种工 程技术研究中心与广东 兆华种业有限公司联合 培育推广的超级稻优质 丝苗香米品种华航香银 针。代表们在现场品鉴 了华航香银占后一致认 为，这个水稻品种不但 高产稳产，而且米质优 美，香味浓郁，饭味软 滑，在尼日利亚地区引 进推广种植，产量可比 当地水稻高出一倍。 国外友 ...

Core Insights - The integration of AI in agricultural machinery is essential for enhancing productivity and addressing labor shortages in the agricultural sector [2][6][10] - The concept of "smart agriculture" is defined as the deep integration of advanced technologies such as biotechnology, information technology, artificial intelligence, big data, and intelligent equipment [3][4] - The future of agricultural machinery is expected to focus on multifunctionality, allowing machines to perform various tasks and interact with crops [10][11][12] Group 1: Current Challenges and Needs - The aging population of farmers and rising labor costs necessitate the transformation of agricultural machinery to incorporate AI elements [2][6] - Traditional farming practices are becoming increasingly inadequate to meet modern agricultural demands, highlighting the urgency for innovation [1][2] - The need for agricultural robots is emphasized due to the declining rural workforce and the challenges posed by labor shortages [2][6] Group 2: Technological Advancements - AI technology is being applied to various agricultural tasks, including pest monitoring, crop management, and harvesting, showcasing its potential to revolutionize the industry [5][6][10] - The development of autonomous machines, such as drones and robotic arms, is progressing, with examples of successful applications in crop monitoring and harvesting [5][7][12] - The integration of AI in agricultural machinery is expected to enhance operational efficiency and precision, addressing the limitations of traditional methods [7][10] Group 3: Future Directions - The future of agricultural machinery is predicted to involve multifunctional robots capable of performing a wide range of tasks, thus improving efficiency and reducing reliance on human labor [10][11][12] - The concept of "one machine for multiple uses" is anticipated to be a key direction for the evolution of agricultural equipment [10][11] - The vision for future agriculture includes a seamless integration of human-like robots and autonomous machines working collaboratively in the fields [12]