Garden Automation
AI-driven irrigation system for optimal plant health.
Problem
Maintaining optimal soil moisture requires constant monitoring and manual intervention, often leading to water waste.
Solution
Developed a sensor-fusion system that monitors soil moisture, temperature, and rain to automate irrigation intelligently.
Approach
Integrated adaptive decision logic that accounts for recent rainfall and weather forecasts before watering.
Outcome
- Reduced water usage by preventing irrigation during rain.
- Enabled remote monitoring via GSM/GPRS dashboard.
- Provided real-time alerts for system status and environmental anomalies.
Case Study
Overview
An intelligent irrigation system that combines local sensor data with weather forecasts to automate watering schedules and eliminate water waste.
Sensor Stack
- Soil moisture sensor (capacitive)
- DHT22 temperature and humidity
- Rain sensor
- GSM/GPRS module for remote monitoring
Decision Logic
The system checks multiple conditions before activating irrigation:
- Is soil moisture below threshold?
- Has it rained in the last 6 hours?
- Is rain forecast in the next 2 hours?
- Is temperature within safe watering range?
Only if all conditions pass does it activate the pump — preventing unnecessary watering.
Remote Dashboard
A web dashboard served over GSM allows remote monitoring of all sensor readings and manual override of irrigation schedules.