基于大数据系统模型的灌溉决策系统研究  

Research on Irrigation Decision-making System Based on Big Data System Model

作　　者：饶申 鲍玲玲 万云奕 徐欢 RAO Shen;BAO Lingling;WAN Yunyi

机构地区：[1]武汉轻工大学硒科学与工程现代产业学院,武汉430023 [2]武汉建春科技有限公司,武汉430056 [3]上海法青景观科技有限公司,上海201699 [4]上海株山农业科技有限公司,上海201699

出　　处：《智慧农业导刊》2023年第7期11-13,共3页JOURNAL OF SMART AGRICULTURE

基　　金：武汉轻工大学创新课题(whpu-2022-kj-460)。

摘　　要：我国部分南方丘陵区域因地下水分布不均,作物浇灌主要依赖于干渠供给,但调度方式不够精确。该研究提供一种基于农业大数据系统模型的灌溉决策系统,借助无线通信技术、自动控制技术及传感器技术等现代技术,开发一套集信息采集、远程自动控制、设备运行状态监测及灌溉过程调控等功能于一体的智能化灌溉决策系统,有效提高农业灌溉自动化程度和精细化水平,同时还可以对系统和各轮灌区的用水量进行精准计量,符合现代智慧农业的发展需求。Due to the uneven distribution of groundwater in some hilly areas of southern China,crop irrigation mainly depends on the supply of main canals,but the dispatching mode is not accurate enough.This paper studies and provides an irrigation decision-making system based on agricultural big data system model,with the help of modern technologies such as wireless communication technology,automatic control technology and sensor technology.A smart irrigation decision-making system is developed,which integrates the functions of information collection,remote automatic control,equipment running state monitoring and irrigation process regulation,so as to effectively improve the automation and refinement level of agricultural irrigation.At the same time,it can also accurately measure the water consumption of the system and each round of irrigation areas,which meets the needs of the development of modern smart agriculture.

关 键 词：智能灌溉 物联网 农业大数据 灌溉调控 富硒茶园 

分 类 号：S36[农业科学—作物栽培与耕作技术]