PRITHVI - A Smart Soil Erosion Alert System

Project PRITHVI is a low-cost alert system designed to help farmers detect early signs of soil erosion, land tilt, heavy rainfall, poor irrigation and landslides

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Project PRITHVI

Precision Response Integrated Tool for Soil Hydration & Vulnerability Insights

Inspiration

Living in Bengaluru, I observed a stark gap: while urban agriculture benefits from advanced technologies, farmers in hilly and landslide-prone rural regions still rely on guesswork.

Soil erosion and land shifts silently destroy crops before any visible signs appear. Existing solutions—like satellite monitoring or GIS systems—are expensive and inaccessible for small-scale farmers.

This led to a simple question:
Can we build an early warning system that is both intelligent and affordable?

What It Does

PRITHVI is a low-cost, IoT-based early warning system designed to detect and prevent soil erosion in real time.

It continuously monitors:

  • Rainfall intensity
  • Soil moisture levels
  • Land tilt and movement

Smart Detection

Using sensor fusion, PRITHVI identifies sustained land tilt beyond:

$$ \theta > 15^\circ $$

indicating potential erosion or landslide risk.

Real-Time Alerts

  • Data is sent to the cloud every 5 seconds
  • Users access insights via web/mobile dashboards
  • Instant push notifications alert farmers before damage occurs

How We Built It

System Architecture (Split-Unit Design)

Sensor Hub – Arduino Uno

  • Processes raw sensor data
  • Connected to motion, moisture, and rain sensors

Communication Unit – NodeMCU ESP8266

  • Receives serialized data every 5 seconds
  • Transmits data via Wi-Fi

IoT Integration

  • Built using Blynk IoT platform
  • Virtual datastreams for real-time monitoring
  • Automated triggers for critical alerts

Hardware Optimization

  • Proto Shield for modular connections
  • Buck converter for stable voltage regulation

Challenges We Faced

Power Stability
Ensuring consistent voltage supply required isolating power sources to prevent system resets.

Data Serialization
We developed a reliable method to package multiple sensor readings into a single comma-separated string:

moisture, rain, tiltX, tiltY, tiltZ

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