Client Overview

The client, a Dutch company, is at the forefront of developing innovative IoT solutions for farmers. The company’s smart farming platform gathers and analyzes data from multiple sources, enabling farmers to make data-driven decisions that improve sustainability, profitability, and efficiency.

Project Objectives

• Collect real-time data from multiple agricultural sources (satellite, drones, sensors, weather stations, public databases, and soil models).
• Aggregate and analyze data using deep learning for actionable insights.
• Provide farmers with custom recommendations on:
  • ✅ Profitability Management
  • ✅ Irrigation Management
  • ✅ Pesticide Management
  • ✅ Fertilizer Management
• Enable carbon credit earnings based on the amount of carbon stored in the soil.
• Ensure compliance with local regulations through an integrated farm registry.

Technologies Used

• Mobile Development: Flutter, Dart, Kotlin
• Frontend Development: React, TypeScript
• Backend Development: Java, Spring Boot, Go
• Cloud & Data Processing: GCP Pub/Sub
• Firmware & Embedded Systems: IoT device integration

Team Structure

• Team Members: TM, 1-3 developers
• Roles: Mobile app development, backend services, data aggregation, and embedded system integration

Key Development Activities

✅ Data Aggregation & Machine Learning: 

Combined multiple data streams (satellites, IoT sensors, drones) for real-time farm insights.

✅ Actionable Insights for Farmers: 

Implemented AI-driven recommendations to optimize crop health, resource management, and sustainability.

✅ Carbon Credit Management: 

Developed a feature to track and monetize carbon storage in soil, helping farmers benefit financially from sustainable practices.

✅ Regulatory Compliance Monitoring: 

Integrated a farm registry system to ensure adherence to local agricultural regulations.

✅ Scalable IoT Integration: 

Developed secure and scalable IoT firmware for seamless integration with on-field devices and sensors.

Results & Impact

The platform successfully empowers farmers with real-time, AI-powered insights, helping them increase efficiency, maximize profitability, and adopt sustainable farming practices. Additionally, the carbon credit feature incentivizes eco-friendly land management, aligning with global sustainability goals.

Conclusion

By merging IoT technology with AI-driven analytics, this platform is transforming modern agriculture. The ability to aggregate, analyze, and act on farm data ensures farmers can make smarter, more profitable, and environmentally responsible decisions.

Looking to innovate with IoT in agriculture?