Plant growth condition monitoring system of artificial light plant factory based on machine vision

YANG Si-si; ZHOU Hong; YU Jia-ting

doi:10.13873/J.1000-9787(2014)12-0088-03

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Plant growth condition monitoring system of artificial light plant factory based on machine vision

更新时间：2025-09-11

- Plant growth condition monitoring system of artificial light plant factory based on machine vision
- Vol. 33, Issue 12, Pages: 88-90(2014)
- 作者机构：
  
  浙江大学仪器科学与工程学系
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2014)12-0088-03
  CLC： TP391.41
- Published：2014
- 稿件说明：
移动端阅览
[1]杨思思,周泓,虞侠挺.基于机器视觉的人工光植物工厂植物生长状况监测系统[J].传感器与微系统,2014,33(12):88-90.

YANG Si-si, ZHOU Hong, YU Jia-ting. Plant growth condition monitoring system of artificial light plant factory based on machine vision[J]. 2014, 33(12): 88-90.
[1]杨思思,周泓,虞侠挺.基于机器视觉的人工光植物工厂植物生长状况监测系统[J].传感器与微系统,2014,33(12):88-90. DOI： 10.13873/J.1000-9787(2014)12-0088-03.

YANG Si-si, ZHOU Hong, YU Jia-ting. Plant growth condition monitoring system of artificial light plant factory based on machine vision[J]. 2014, 33(12): 88-90. DOI： 10.13873/J.1000-9787(2014)12-0088-03.

摘要

设计了一种基于机器视觉的人工光植物工厂植物生长状况监测系统

主要利用机器视觉技术对植物工厂中植物生长进行无损监测

获取植物的生长信息。同时解决了针对LED偏色光情况下

获取植物前景图像不完整的问题。利用该系统可以快速、准确地获取植物生长的叶面积等参数

实现植物生长状况的实时监测

为植物生产过程中有关作业的自动化奠定了基础

具有广阔的应用前景。

Abstract

A plant growth condition monitoring system of artificial light plant factory based on machine vision is designed

which is used for plant growth nondestructive monitoring

get growth information with machine vision technology.The problem that the plant foreground image is incomplete aiming at LED cast light is solved.The system can quickly and accurately obtain the plant growth parameters such as leaf area

which achieves real-time monitoring on plant growth conditions and laid the foundation for automation of plant production process

has broad application prospect.

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references

植物工厂关键技术的研究与应用 [J]. 张晓慧,周增产,王峻峰,卜云龙,李秀刚,黄益长. 北方园艺 . 2010(04)

LED在植物工厂中的研究现状与应用前景 [J]. 魏灵玲,杨其长,刘水丽. 中国农学通报 . 2007(11)

黄瓜幼苗生长信息的无损监测系统的应用与验证 [J]. 武聪玲,滕光辉,李长缨. 农业工程学报 . 2005(04)

计算机视觉技术在作物生长监测中的研究进展 [J]. 林开颜,徐立鸿,吴军辉. 农业工程学报 . 2004(02)

基于图像处理的黄瓜缺氮与缺镁判别的研究 [J]. 胡春华,李萍萍. 江苏大学学报(自然科学版) . 2004(01)

基于嵌入式的兰科植物组培智能化控制系统 [D]. 虞侠挺. 浙江大学 2012

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