基于物联网和人工智能的柑橘灌溉专家系统

Citrus Irrigation Expert System Based on Internet of Things and Artificial Intelligence

针对山地柑橘传统灌溉方式存在的费时耗力、不科学和水资源利用率低等问题,设计了基于物联网和人工智能技术的山地柑橘智能灌溉专家系统。各节点传感器实时监测土壤水分等相关信息,经无线传感器网络和GPRS上传到服务器。专家系统根据采集到的环境数据,结合专家知识,和网络接口获取到的天气预报降雨信息,综合权衡后作出控制调节。专家系统还通过人工智能自然语言处理技术训练语义模型,实现自动问答,指导用户栽培柑橘的功能。实验结果表明,该系统能实时监测到果园环境、根据作物不同时段需水量和自然降雨情况将土壤湿度控制在适合范围,具有稳定性好、能量自给、智能化高等特点。

In view of the problems existing in traditional irrigation of citrus in mountainous areas, such as time and energy consumption, unscientific and low utilization rate of water resources, this paper designs an intelligent irrigation expert system of citrus in mountainous areas based on Internet of things and artificial intelligence technology.Each node sensor monitors soil moisture and other relevant information in real time, which is uploaded to the server via wireless sensor network and GPRS.The expert system makes control and adjustment based on the collected environmental data, combined with the expert knowledge and the weather forecast rainfall information obtained through the network interface.The expert system also trains the semantic model through the artificial intelligence natural language processing technology, realizes the question answering automatically, guides the user to cultivate the citrus function.The experimental results show that the system can monitor the orchard environment in real time, control the soil moisture in a suitable range according to the water demand and natural rainfall of crops in different periods, and has the characteristics of good stability, energy self-sufficiency and high intelligence.