基于Java EE的农田实验数据的自动采集与管理

为实时准确获取农田信息,提高农田实验数据的自动采集与管理水平,实现节水灌溉,该文综合农学、统计学、物联网技术和生态学等的基本理论与方法,以3S(CIS,RS,GPS)技术为核心,基于遥感技术的宏观性、GPS精准定位的特点以及地理信息系统的空间性,结合无线通信、Web等相关集成技术,借助专家决策系统的生产和管理决策,针对某农田测坑试验场开发了一款具有自主知识产权的农田测坑试验数据(空气温度、湿度和光照度、土壤含水量等)自动化采集与管理软件系统,可现场检测设备远程操作,并具有数据采集、输入和输出、查询、统计、分析等功能。

Automatic collection and management of farmland experimental data based on Java EE

In order to realize water-saving irrigation by real-time accurate access to farmland information and improving automatic collection and management level, in this paper, combining with basic theories and methods of agronomy, statistics, networking technology and ecology, with the help of manufacturing and management decision of expert decision-making system, a farmland pit test data (air temperature, humidity and light intensity, and soil moisture content, etc.) with independent intellectual property rights is developed.And it is developed taking 3S (CIS, RS, GPS) technology as core, based on the macroscopic nature of remote sensing technology, the characteristics of GPS precise positioning and the spatiality of geographic information system.In addition, it combines wireless communication, Web and other related integrated technologies to detect the remote operation of the equipment.It has the function of data acquisition, input and output, query, inquiry, statistics, and analysis