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Case Study

Precision Farming Solution

A start-up focusing on solutions to optimize water usage wanted Gadgeon to provide a complete IOT solution with sensor nodes, cloud and mobile apps.

Project Size: 7 members

Project Duration: 8 months

Technology Used: CC3200, MQTT, AWS,  Restful APIs, Swift (iOS),  Android App


  • Precise control of watering based on actual needs at each part of the farm. Needs accurate measurements and control of watering accordingly 

  • Optimizing the sensor nodes to operate at very low power to get multi year battery life


  • Fully integrated system involving WiFi enabled sensor nodes, cloud platform and mobile apps. Provides up to 50% savings on water usage, depending on environmental conditions

  • Integration to weather.com to control watering based on prediction of rain

System Overview

Cloud Architecture
  • Sensor mote firmware on cc3200 with various sensors and optimized for low power operation
Integrate soil moisture, ambient light, temperature and humidity sensors to cc3200 microcontroller
Integrate light weight MQTT stack to the firmware. Collect sensor readings periodically and publish to MQTT.
Low power optimization. CPU in sleep mode for most of the time. CPU wakes up periodically and turns the radio on to upload sensor readings.
AP mode for initial setup and configuration over web based GUI. 
OTA firmware update
  •  Cloud application to collect, analyse sensor data and control the irrigation
Collects sensor data and records it to database. Based on data analysis and weather reports controls the irrigation system for each zone with quantity water. Generates reports for users.
Cloud server hosted in Amazon. AWS IOT is used for MQTT interface between cloud server and sensor nodes and irrigation controller. API Gateway is used for integrating Mobile Apps. AWS Dynamo DB is used as database and  AWS Lambda functions are used for implementing business logic.
  • iOS and Android mobile Apps
Create schedules for watering, set preferencesMVC architecture, real-time notifications, RESTful APIs for cloud communication
Followed the recommended design patterns from Apple and Google.

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