Case Study
AgriTech IoT: Precision Farming
IoT ecosystem that automates irrigation and fertilization based on real-time soil and weather data analysis.
The Challenge
Understanding the Problem
Optimizing resource usage for large-scale farms to reduce costs and environmental impact.
Our Approach
Deployed a dense sensor network with edge computing capabilities to make real-time irrigation decisions.
Phase 1
Drone Surveys
Phase 2
Autonomous Harvesting
Phase 3
Market Prediction
The Solution
Deployed a network of ESP32 sensors communicating with a Flutter app via Firebase for real-time monitoring and control.
- -40% Water
- -20% Cost
The Outcome
Reduced water usage by 40% and fertilizer costs by 20% for pilot farms.
Impact: 40% Water Saved
Development Journey
From Concept to Launch
3 months
Sensors
IoT deployment
3 months
App
Monitoring dashboard
Measurable Impact
Key Results
Primary Outcome
40% Water Saved
Direct business value delivered.
-40%
Water
Savings
-20%
Cost
Reduction
Technology Stack
Tools & Frameworks
ArduinoESP32FlutterFirebaseC++Dart
"Precision farming at its best. Huge cost savings."
Owner, Cloud Farms