View Proposal

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Proposer

Rosalind Deena Kumari

Title

Smart Greenhouse Monitoring and Automation System Using IoT

Goal

To develop an IoT-based smart greenhouse system that continuously monitors environmental conditions and automatically controls irrigation, ventilation, and lighting to optimize plant growth, improve resource efficiency, and reduce manual intervention.

Description

The Smart Greenhouse Monitoring System is an IoT-enabled solution designed to monitor key environmental parameters within a greenhouse, including temperature, humidity, soil moisture, light intensity, and CO₂ levels. Sensors connected to an ESP32 or Arduino microcontroller collect real-time data and transmit it to a cloud database for storage and analysis. Based on predefined thresholds or intelligent decision-making algorithms, the system automatically activates actuators such as water pumps, ventilation fans, and artificial lighting. Users can monitor greenhouse conditions, receive alerts, and manually control devices through a web or mobile application. The system can also incorporate data analytics and machine learning techniques to predict irrigation requirements and improve crop management.

Resources

Hardware ESP32 or Arduino Uno Temperature and Humidity Sensor (DHT22) Soil Moisture Sensor Light Intensity Sensor (LDR/BH1750) CO₂ Sensor (MH-Z19B) Relay Module Water Pump Ventilation Fan LED Grow Lights Power Supply Software Arduino IDE Flutter/Android Studio (Mobile App) React.js or HTML/CSS/JavaScript (Web Application) Firebase, MySQL, or MongoDB (Cloud Database) MQTT or HTTP Protocol for Communication Optional Tools Python for Data Analytics and Machine Learning ThingSpeak, Blynk, or AWS IoT Platform TensorFlow or Scikit-learn for predictive models

Background

Traditional greenhouse management often relies on manual monitoring and control of environmental conditions, which can be time-consuming and prone to human error. Inconsistent temperature, humidity, irrigation, and lighting can negatively affect plant growth and crop yield. Advancements in the Internet of Things (IoT) have enabled real-time monitoring and automated control systems that can optimize greenhouse operations. By integrating sensors, cloud technologies, and automation mechanisms, greenhouse environments can be maintained within ideal conditions with minimal human intervention. Furthermore, data collected over time can be analyzed to identify trends and support intelligent decision-making, making agriculture more sustainable, productive, and efficient.

Url

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

1

Supervisor

Rosalind Deena Kumari

Keywords

iot, smart greenhouse, precision agriculture, environmental monitoring, automated irrigation, esp32, sensor networks, cloud computing, real-time monitoring, machine learning.

Degrees

Bachelor of Science in Computing Science