研究问题 Scope

生态水动力学课题组（Eco-Hydro Group）由中国农业大学徐云成副教授负责，长期聚焦农业水利工程与智慧农业交叉领域，围绕节水灌溉装备机理与智能化、农田智慧感知与精准作业、农业水动力学、农业水资源系统优化四大方向，形成”机理解析→装备研发→系统集成→工程应用”的完整研究体系。

The Eco-Hydrodynamics Research Group (Eco-Hydro Group), led by Prof. Yuncheng Xu at China Agricultural University, works at the intersection of agricultural water conservancy and smart agriculture, advancing four integrated directions: water-saving irrigation intelligence, smart farmland sensing, agricultural hydrodynamics, and water resources system optimization.

研究方向 Interests

• 智慧农田感知与无人系统 — 四足机器狗自主导航、RGB-D视觉杂草识别、农田移动式原位监测。
  Smart farmland sensing & unmanned systems — autonomous navigation for robotic dogs, RGB-D weed identification, mobile in-situ monitoring.

• 精准灌溉与水肥一体化智能装备 — 大型喷灌机、变量灌溉控制阀、水肥混合运移、智能决策与精准执行系统。
  Precision irrigation & fertigation equipment — center-pivot, variable-rate control valves, water-fertilizer mixing, intelligent decision systems.

• 农业水动力学与数值模拟 — 沼蛤附着滤食水动力学、微喷带/射流泵内流模拟、CDEM-OpenFOAM耦合开发。
  Agricultural hydrodynamics & numerical simulation — mussel biofouling hydrodynamics, micro-sprinkler/jet pump simulation, CDEM-OpenFOAM coupling.

• 农业水土系统建模与可持续性评价 — 水-土-作物耦合模型、节水灌溉效益评估、人口老龄化影响分析。
  Water-soil system modeling & sustainability — coupled water-soil-crop models, irrigation benefit assessment, aging-population impact analysis.

合作机会 Collaboration

期待在以下交叉领域与多学科同仁、企业开展合作：

We welcome collaboration with multidisciplinary researchers and industry partners:

• 无人农场与机器人作业：机器狗多机协同、自主巡检，杂草病虫害智能识别与靶向作业。
  Unmanned farms & robotics: multi-robot coordination, autonomous inspection, intelligent weed/pest targeting.
• 数字孪生与精准灌溉：喷灌机与微喷带水肥运移数字孪生平台，变量灌溉仿真与数据驱动决策。
  Digital twins & precision irrigation: water-fertilizer digital twins for sprinkler/micro-sprinkler systems, data-driven decision models.
• 区域水-能源-粮食-生态协同：变化环境下人口-灌溉-能源-粮食耦合模拟，节水技术效益评估与适应性政策。
  Regional water-energy-food-ecology nexus: coupled population-irrigation-energy-food simulation, adaptive policy analysis.