摘要
依托精准农业大数据,提出了一种在WEB应用程序中访问精准农业专家系统时,数据挖掘算法与大数据的接口设计方案。以目前我国农业中大数据的基本特征为切入点,介绍了精准农业中所使用的几种典型数据挖掘算法,分析了在WEB系统中挖掘算法与大数据之间接口的设计思路,总结了具体实现中关键技术的优缺点。本设计实现了跨平台、跨语言调用算法的功能,解决了智能挖掘与大数据的接口问题,完成了算法在数据库中进行数据挖掘的目的,保障了算法和新挖掘技术的扩展性,同时为后续系统维护、更新、移植等提供便利。
Relying on the large data of precision agriculture, we presented a design plan of data mining algorithm and large data interface, when customers visit wisdom agriculture expert system in Web applications. Based on the fundamentally distinguishes of large data in agriculture fields, we introduced several typical data mining algorithms used in precision agriculture;we analyzeddesign solutions of interface between mining algorithmsand large data; and we also summarized the merits and demerits of the key technologies in implementation. This design realized the function of call algorithm among different platforms and different languages; it solved the interface problem between the wisdom mining and large data; it completed the aim of algorithm mining data in database; it ensured expansibility of algorithm and new mining technology; and it also provided convenience for subsequent system maintenance, update, porting and so on.
作者
任华
刘亚尼
钟丽萍
邹承俊
REN Hua LIU Ya-ni ZHONG Li-ping ZHOU Cheng-jun(School of Electronic Information, Chengdu Vocational College of Agricultural Science and Technology, Chengdu 611130, China School of Computer, Pan Zhihua College, Panzhihua 617000, China)
出处
《电子设计工程》
2017年第18期34-37,41,共5页
Electronic Design Engineering
基金
成都农业科技职业学院院级科研课题(cny14-13)
关键词
大数据
精准农业
数据挖掘
接口
算法
largedata
precision agriculture
data mining
interface
algorithm
