摘要
设计一种基于深度学习的智能花卉自动养护系统。基于深度学习的图像分类技术,利用采集到的花卉图片对花卉的生长状况进行识别(如叶子发黄则代表缺少光照)。自动控制系统根据识别的花卉生长状况来执行相应的动作,从而改变花卉的环境参数,使得花卉在无人管理的情况下也能很好地生长。
This paper designs an intelligent flower automatic maintenance system based on deep learning.It used the image classification technology based on deep learning to identify the growth of flowers by using the collected flower pictures(yellow leaves represent lack of illumination).According to the recognition of flower growth status,the automatic control system carries out the corresponding action to change the environmental parameters of flowers,so that flowers can grow well without management.
作者
陆卫忠
黄宏梅
杨茹
曹燕
Lu Weizhong;Huang Hongmei;Yang Ru;Cao Yan(School of Electronic and Information Engineering,Suzhou University of Science and Technology,Suzhou 215009,Jiangsu,China;Jiangsu Key Laboratory of Intelligent Building Energy Efficiency,Suzhou 215009,Jiangsu,China)
出处
《计算机应用与软件》
北大核心
2021年第8期72-77,共6页
Computer Applications and Software
基金
国家自然科学基金项目(61672371)
江苏省教育厅自然科学研究项目(08KJD510007)。
关键词
花卉养护
深度学习
智能控制
传感器
Flower maintenance
Deep learning
Intelligent control
Sensor
