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2 min read10 weeks

Smart Irrigation System with Weather Prediction

MediumBTech CSEBCAMCABSc IT+6 moreAI & Machine LearningIoT
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An automated irrigation controller that waters crops based on soil moisture and predicted rainfall, reducing water use while keeping plants healthy.

Problem Statement

Farmers often over-irrigate because they water on fixed schedules without soil or weather information.

Objectives

1

Monitor soil moisture and temperature

2

Predict short-term rainfall from weather data

3

Control the pump automatically

4

Report water usage and savings

Modules

M1

Field Sensors

Soil moisture, temperature, and humidity sensing.

M2

Pump Controller

Relay control with manual override.

M3

Prediction Model

Rain probability model from weather history.

M4

Farmer Dashboard

Status, schedules, and water savings.

Expected Output

A working model that waters a plant only when the soil is dry and rain is not expected.

Future Scope

Crop-specific schedules, solar power, and SMS control for areas with poor internet.

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Frequently Asked Questions

Click the "Get Free Synopsis PDF" button on this page. Fill in your details and we will send a detailed synopsis to your WhatsApp within 24 hours at no cost.
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: Scikit-learn, C++, Python, Arduino. Basic knowledge of these technologies is recommended before starting.