农业灌溉的信息化管理是未来农业可持续发展的重要方向，但现有管控平台存在决策模型能力有限、管控时效不足等问题。为此，本研究构建了基于“云—边—端”协同架构的智能灌溉管控平台，采用Kubernetes容器化编排技术，实现模型与算法的灵活部署和弹性调度；面向不同种植场景，建立了基于深度学习预测的水量平衡大田灌溉决策模型与温室累计光合有效辐射灌溉决策模型；同时设计了覆盖“需水监测—灌溉决策—智能管控—灌后评价”的闭环调控模块，研制了灌溉全生命周期的动态管控平台。通过区域农田仿真与设施农业实测应用结果表明：在大田玉米仿真模拟验证中，平台决策生成的灌溉量较经验灌溉减少约18.3%，产量提高27.3%，灌溉水利用效率提升约56%；在设施生菜种植验证中，节水约10.02%、增产约9.38%，灌溉水利用效率提升约21.33%，本灌溉平台为多场景灌溉管理提供了技术与方法支撑。

The informatisation of agricultural irrigation management represents a crucial direction for future sustainable agricultural development. However, existing control platforms suffer from limitations in decision-making model capabilities and insufficient control timeliness. To address this, this study constructs an intelligent irrigation control platform based on a ‘cloud-edge-end’ collaborative architecture. Utilising Kubernetes containerised orchestration technology, it enables flexible deployment and elastic scheduling of models and algorithms. For diverse cultivation scenarios, we developed a water balance decision model for field irrigation and a cumulative photosynthetically active radiation-based irrigation decision model for greenhouses, both utilising deep learning prediction. Concurrently, we designed a closed-loop control module encompassing ‘water demand monitoring - irrigation decision-making - intelligent control - post-irrigation evaluation,’ thereby creating a dynamic management platform covering the entire irrigation lifecycle. Results from regional farmland simulations and practical applications in protected agriculture demonstrate: in field maize simulation validation, the platform's decision-generated irrigation volume reduced by approximately 18.3% compared to experience-based irrigation, while yield increased by 27.3% and irrigation water use efficiency improved by about 56%; In controlled environment lettuce cultivation trials, water savings reached 10.02%, yields increased by 9.38%, and irrigation water use efficiency improved by 21.33%. This irrigation platform provides technical and methodological support for multi-scenario irrigation management.