Control System for Optoelectronic Complementary Intelligent Greenhouse

In order to achieve intelligent monitoring and efficient control management of agricultural greenhouses, this paper designs a photoelectric complementary intelligent greenhouse control system based on STM32 microcontroller. This system integrates multiple sensors to monitor crop growth environment data such as temperature, humidity, light, soil moisture and CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> concentration. inside the greenhouse. At the same time, by connecting the Wi-Fi module to the mobile app, users can remotely monitor various environmental parameters inside the greenhouse and take remote visualization operations to maintain the crop growth environment in the most suitable range. The monitor can provide real-time feedback on the environmental status inside the greenhouse. When the environmental parameters are not within the range set by the system, an audible and visual alarm will be triggered. Through the control system, functions such as ventilation, irrigation, supplementary lighting, shading, humidification, dehumidification, heating and cooling can be achieved in the greenhouse. This design also adopts a diversified and effective supply of energy through photovoltaic complementarity. This system can provide the most suitable growth environment for crops and efficiently achieve intelligent control and management of greenhouses.

Authors

Institutions

Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/icaisisas64483.2025.11051560
Primary Topic
Greenhouse Technology and Climate Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Control System for Optoelectronic Complementary Intelligent Greenhouse

Jiaxin Jin, Zhongqi Tan, Aili Li, J.C. Cha
Greenhouse Technology and Climate Control
article

Control System for Optoelectronic Complementary Intelligent Greenhouse

Jiaxin Jin, Zhongqi Tan, Aili Li, J.C. Cha
article en

Abstract

In order to achieve intelligent monitoring and efficient control management of agricultural greenhouses, this paper designs a photoelectric complementary intelligent greenhouse control system based on STM32 microcontroller. This system integrates multiple sensors to monitor crop growth environment data such as temperature, humidity, light, soil moisture and CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> concentration. inside the greenhouse. At the same time, by connecting the Wi-Fi module to the mobile app, users can remotely monitor various environmental parameters inside the greenhouse and take remote visualization operations to maintain the crop growth environment in the most suitable range. The monitor can provide real-time feedback on the environmental status inside the greenhouse. When the environmental parameters are not within the range set by the system, an audible and visual alarm will be triggered. Through the control system, functions such as ventilation, irrigation, supplementary lighting, shading, humidification, dehumidification, heating and cooling can be achieved in the greenhouse. This design also adopts a diversified and effective supply of energy through photovoltaic complementarity. This system can provide the most suitable growth environment for crops and efficiently achieve intelligent control and management of greenhouses.

Dalian University of Technology (CN)
Openalex Percentile: Top 88%
Greenhouse Technology and Climate Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.