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.
作者
何文祥
李社蕾
He Wenxiang;Li Shelei(Department of Information and Intelligent Engineering,Sanya University,Sanya 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)。
关键词
智能家居盆栽
Exynos
4412
时间预测序列
病虫害识别
intelligent home potting
exynos 4412
time prediction sequence
identification of diseases and insect pests