Application of multi-sensor data fusion technique in greenhouse environmental monitoring

被引：4

作者：

Zhang Hang ^{[1
]}

Shao Linda ^{[1
]}

Liao Wangliang ^{[1
]}

Li Chuang ^{[1
]}

Weng Kaiyan ^{[1
]}

机构：

[1] Ctr South Univ, Coll Informat Sci & Engn, Changsha 410012, Hunan, Peoples R China

来源：

2017 INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA) | 2017年

关键词：

Adaptive Weighted Fusion Algorithm; D-S Evidence Theory; Dat Fusion;

D O I：

10.1109/ICSGEA.2017.47

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The agriculture-oriented greenhouses are usually affected by location,temperature,season,etc., and it is difficult to monitor and control the crops growing in them. In this paper, a system scheme based on multi-sensor detection and data fusion technology is proposed for green house monitoring and contr01.The arithmetic improves the objectivity of data fusionby the orders of sensor fusion according to the minimum distance clustering. By using thismethod,the accuracy of environment measurement is improved, and the temperature, humidity and illumination in greenhouse are well regulated SO as to provide ideal conditions for greenhouse crops.

引用

页码：51 / 55

页数：5

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