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随着现代科学技术的发展和农业节水理论的研究的深入,水肥灌溉正朝向精量化、智能化不断发展。提出了基于知识工程的(KBE)智能灌溉系统概念,并开发决策支持系统,利用知识工程的技术和方法,结合计算机网络、智能推理和人工智能等现代高新技术,将多年来的水肥灌溉的研究成果和专家知识进行系统集成。系统包括数据库、模型库,知识库、智能决策、可视化查询等模块,通过计算机程序把专家经验和大量知识结合起来,运用推理和解释机制模仿农业专家进行分析,借助数据挖掘技术、机器学习技术、人工智能技术实现灌水量精准决策,提高灌溉用水的灵活性、准确性、实用性。
With the development of modern science and technology and the deepening of the research on agricultural water saving theory, the irrigation of water and fertilizers is moving toward more precise and intelligent development. The concept of intelligent irrigation system based on knowledge engineering (KBE) is put forward and the decision support system is developed. By using the knowledge engineering techniques and methods, combined with modern high and new technology such as computer network, intelligent reasoning and artificial intelligence, Systematic integration of results and expert knowledge. The system includes such modules as database, model base, knowledge base, intelligent decision-making and visual query. Through the combination of expert experience and large amount of knowledge through computer programs, the system uses the reasoning and interpretation mechanisms to imitate agricultural experts for analysis. With data mining, machine learning, Artificial intelligence technology to accurately determine the amount of irrigation, irrigation water to improve the flexibility, accuracy and practicality.