A Data Mining Approach Applied to Wireless Sensor Neworks in Greenhouses

被引：0

作者：

Castellanos-Garzon, Jose A. ^{[1
]}

Mezquita Martin, Yeray ^{[1
]}

Jaimes S, Jose Luis ^{[2
]}

Lopez G, Santiago M. ^{[2
]}

机构：

[1] Univ Salamanca, BISITE Digital Innovat Hub, Edificio Multiusos IDi, Salamanca 37007, Spain

[2] Univ Salamanca, Inst Univ Estudios Ciencia & Tecnol, Salamanca, Spain

来源：

DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE | 2019年 / 801卷

关键词：

Agents; Adaptivity; IoT; Greenhouse; Crop optimization; Data mining; SYSTEM; INTERNET; AGENTS; SELECTION; THINGS; MANAGEMENT; FRAMEWORK; TRUST;

D O I：

10.1007/978-3-319-99608-0_60

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This research presents an innovative multi-agent system based on virtual organizations. It has been designed to manage the information collected by wireless sensor networks for knowledge discovery and decision making in greenhouses. The developed multi-agent system allowed us to take decisions on the basis of the analysis of the historical data obtained from sensors. The proposed approach improves the efficiency of greenhouses by optimizing the use of resources.

引用

页码：431 / 436

页数：6

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