About :

Terraview is an AI-powered vineyard intelligence platform designed to help vineyard operators manage crops using data-driven insights. By integrating satellite imagery, IoT sensors, drones, and machine learning models, the platform provides real-time monitoring and predictive analytics to optimize irrigation, forecast yield, detect diseases, and improve overall vineyard productivity.

Scope of Work

Golden Eagle delivered the complete development of the Terraview platform, focusing on predictive analytics, real-time monitoring, and scalable agricultural data processing.

Key deliverables included:

• Development of a Django-based backend platform
  • Integration of AI and machine learning models for predictive insights
  • Data integration from satellites, drones, weather stations, and sensors
  • Development of vineyard monitoring dashboards
  • Automated irrigation and resource optimization modules
  • Disease detection and risk forecasting systems
  • Vineyard task and resource management tools
  • API development for real-time agricultural data integration

Key Features

1. AI-Based Yield Prediction
   Machine learning models analyze historical and real-time vineyard data to predict crop yield with high accuracy.
2. Smart Irrigation Optimization
   Automated irrigation recommendations based on soil conditions, weather data, and crop requirements.
3. Disease Detection & Forecasting
   Early warning system for fungal and bacterial diseases such as powdery mildew and botrytis.
4. Nutrient Deficiency Identification
   AI models detect macro and micronutrient deficiencies and pinpoint affected vineyard locations.
5. Microclimate Monitoring & Forecasting
   Localized weather forecasts help vineyard managers plan irrigation, spraying, and harvesting.
6. Satellite & Drone Data Integration
   High-resolution satellite imagery and drone data provide real-time vineyard monitoring.
7. IoT Sensor Connectivity
   Integration with ground-based sensors for soil moisture, temperature, and environmental monitoring.
8. Vineyard Resource & Task Management
   Track daily tasks, manage vineyard operations, and maintain accurate records.

Technology Stack

Backend

• Django (Python)
  • REST APIs

Artificial Intelligence

• Machine Learning Models
  • Predictive Analytics

Data Integration

• Satellite Imagery APIs
  • Drone Data Integration
  • IoT Sensor Data Streams
  • Weather Station APIs

Architecture

• Scalable Data-Driven Architecture
  • Cloud-Based Data Processing

Team Members

• Project Manager
  • Django Developers
  • AI & Machine Learning Engineers
  • Data Engineers
  • Cloud & DevOps Engineers
  • Quality Assurance Engineers

Project Budget

Estimated Budget Range:
$60,000 – $100,000

(AI model development, satellite integrations, and data infrastructure significantly increase project scope and cost.)

Business Impact

• Achieved up to 85% accuracy in yield prediction
  • Reduced water usage by up to 50% through optimized irrigation
  • Decreased crop loss by approximately 10% via early disease detection
  • Enabled real-time vineyard monitoring and analytics
  • Improved decision-making with data-driven viticulture insights