IOT-based Detection for Tropical Flower

被引：0

作者：

Zhang, Jian ^{[1
]}

Guo, Zhi-Liang ^{[1
]}

Chen, Shan-Shah ^{[1
]}

Shao, Bing-Qian ^{[1
]}

Wang, Yuan-Tang ^{[1
]}

机构：

[1] Hainan Univ, Coll Appl Sci & Technol, Danzhou Hainan, Peoples R China

来源：

2016 INTERNATIONAL CONFERENCE ON INFORMATION SYSTEM AND ARTIFICIAL INTELLIGENCE (ISAI 2016) | 2016年

关键词：

IOT; WSN; Machine Vision; Tropical Flowers;

D O I：

10.1109/ISAI.2016.83

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Growth environment and physiological indices of tropical flower is an important parameter to measure crop growth, while the conventional method has its own limitations. The design combines machine vision and Wifi / 3G technology to achieve a physiological detection system based on Internet of Things through a wireless sensor network environment information collection crop growth; growth of information and video images are processed through the video capture crop, thereby obtaining the measured target data, preliminary tests showed rationality and practicality of the system.

引用

页码：219 / 222

页数：4

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