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IoT-Based Smart Greenhouse Monitoring System

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An IoT system that monitors and controls greenhouse environmental conditions using sensors for temperature, humidity, soil moisture, and light. The system automates irrigation and ventilation while providing a real-time dashboard accessible via web and mobile.

Problem Statement

Greenhouse farming requires constant monitoring of environmental parameters for optimal crop growth. Manual monitoring is labor-intensive, error-prone, and not feasible 24/7. Sudden temperature spikes or moisture drops can devastate crops before a farmer notices. An automated IoT monitoring and control system can ensure optimal growing conditions round the clock.

Objectives

1

Design a sensor network using ESP32 microcontrollers

2

Implement real-time data collection and cloud storage

3

Build automated control logic for irrigation and ventilation

4

Create a web and mobile dashboard for remote monitoring

5

Implement alert notifications for critical conditions

Modules

M1

Sensor Network

ESP32 nodes with DHT22 (temperature/humidity), soil moisture, LDR (light), and CO2 sensors.

M2

Data Pipeline

MQTT protocol for sensor data transmission to cloud, with Firebase for real-time storage.

M3

Control System

Rule-based automation: trigger irrigation when soil moisture drops, activate fans when temperature exceeds threshold.

M4

Web Dashboard

Real-time charts showing sensor readings, historical data analysis, and manual control overrides.

M5

Alert System

SMS and push notifications when sensor values exceed safe ranges or equipment malfunctions.

Expected Output

A working prototype with sensors collecting real-time greenhouse data, automatic irrigation and ventilation control, and a responsive dashboard showing live and historical environmental data. The system sends alerts via SMS when conditions become critical and allows remote manual control of actuators.

Future Scope

Machine learning for predictive climate control, drone integration for aerial crop inspection, solar power for off-grid operation, multi-greenhouse management from a single dashboard, and marketplace integration for selling produce directly from the platform.

Frequently Asked Questions

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Yes, this project includes a detailed problem statement, objectives, and module breakdown that you can use for your college submission. The synopsis PDF we provide is formatted for academic submission.
This project uses: Firebase, React, Python, Arduino. Basic knowledge of these technologies is recommended before starting.