农业观察 说话间，一架无人机从空中飞过。"无人机不仅可以打药、施肥，还能自主巡田。"冯卫东给记者算了一笔账，无人机巡2000亩地，需要半天时间，靠人工则 要5天时间，除了节省成本、提高效率之外，利用科技装备使巡田的覆盖面更广。 这些从天空与田间收集的数据，最终汇向稻田旁的江苏农垦智慧农业科技园。在全域农情测控平台上，管理员鲍传华根据数据情况，将生产指令传到田间地 头。工作人员通过智能终端或者手机，即可操作农机、无人机进行田间作业。 "智慧农业是破解'谁来种田，如何科学种田'的最优解，目前，智能闸门等设施已经向其他分公司推广。"冯卫东说。 丰收的田野和无人化农机，勾勒出现代智慧农业的生动画卷。正如冯卫东所言，智慧农业贯穿耕、种、管、收的全过程，让"看天吃饭"变为"知天而作"。未 来，苏垦农发将和高校合作，研发更加聪明的种田"大模型"，提升生产效率，谱写全新的智慧农业篇章。 经济观察网 据央广网报道，满目金黄的稻田里，一棵棵水稻长势喜人，稻穗腰身低垂，微风吹过，稻香阵阵。远处，无人收割机正在北斗导航的指引下， 按照既定轨迹作业，切割、脱粒、粉碎等一气呵成，同步作业的无人耕地机将稻田平整，准备投入新一季农作物种植。 ...

Core Insights - The rice planting area in Zhenjiang Economic Development Zone is 66,200 acres this year, with efforts focused on ensuring stable and increased rice production through technical guidance, training, pest control, and the introduction of new technologies and fertilizers [2] Group 1: Agricultural Practices - The rice yield is expected to increase by 5% this year due to the adoption of new hard disk seedling technology, which has improved seedling quality and efficiency [1] - Each rice plant is producing 170-180 grains, compared to 130-140 grains in previous years, indicating a significant improvement in crop yield [1] Group 2: Investment in Technology - The farmer, Zhou Shengli, has invested in various agricultural machinery, including 5 tractors, 8 transplanting machines, 6 plant protection machines, and 6 drones, to achieve full mechanization in agriculture [1] - A drying facility is under construction, with plans to purchase three large drying machines capable of processing 50 tons per day, which will benefit both his farm and neighboring smallholders [1] Group 3: Training and Support - The agricultural department in Zhenjiang Economic Development Zone is enhancing support for rice farmers by providing training and promoting the use of new fertilizers, pesticides, and high-yield varieties [2]

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]