智能家居盆栽系统技术的研究与设计  

Research and Design of Intelligent Home Potted Plant System Technology

作　　者：何文祥 李社蕾[1] He Wenxiang;Li Shelei(Department of Information and Intelligent Engineering,Sanya University,Sanya 572000)

机构地区：[1]三亚学院信息与智能工程系,三亚572000

出　　处：《现代计算机》2021年第23期167-170,共4页Modern Computer

基　　金：省级大学生创新创业训练计划项目(S201913892089)。

摘　　要：生活中人们常常会在家中摆放盆栽,但是由于忙于工作、学习等原因疏忽了对盆栽植物的培养,或者因缺乏盆栽种植的相关专业知识导致植物烂根、枯萎,针对这种生活背景设计出了一款搭载Linux系统的Exynos 4412开发板,并且拥有多种信息采集传感器,利用时间序列预测模型、深度卷积神经网络模型、消息队列遥测传输协议、云存储等技术的智能家居盆栽系统。该系统实现盆栽植物自动化科学灌溉,土壤肥沃监控,病虫害预警,从而保证盆栽植物健康茁壮的成长,具有广阔的市场空间。In our daily life,people often neglect the cultivation of potted plants because they are busy with work and study,or the lack of professional knowledge of potted plants leads to rotten roots and withered plants.In view of this background,an Exynos 4412 develop⁃ment board with Linux system is designed,and it has a variety of information acquisition sensors Deep convolution neural network mod⁃el,message queue telemetry transmission protocol,cloud storage technology,etc.The system realizes automatic scientific irrigation of potted plants,monitoring of soil fertility and early warning of diseases and pests,so as to ensure the healthy and healthy growth of potted plants.

关 键 词：智能家居盆栽 Exynos 4412 时间预测序列 病虫害识别 

分 类 号：S126[农业科学—农业基础科学] TP399-C4[自动化与计算机技术—计算机应用技术]