Streaming Analytics
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Streaming Analytics
AGRI TECH & STREAMING ANALYTICS
Real-Time Geo-Intelligence to Track Tractor Usage & Land Coverage
Problem Statement
“A leading agricultural platform needed to track tractor movements in real-time, distinguish services from transit, and generate accurate land coverage and billing data at scale.”
- Process high-frequency GPS data cost-effectively across thousands of tractors
- Differentiate between idle movement and active ploughing
- Identify exact field boundaries and calculate area covered
- Handle large-scale streaming data with transaction-level integrity
Business Outcomes
43%
Reduction in billing discrepancies with geo-spatial accuracy
20%
Decrease in manual corrections due to intelligent automation
Solutions
- Designed and built a real-time digital product for streaming tractor geo-location and activity data
- Applied geometry-based algorithms to calculate both distance traveled and land area covered
- Automatically generated invoices based on area ploughed, reducing manual intervention
- Filtered and categorized movement data to distinguish transport paths from actual service activity
- Fully deployed solution on AWS cloud for scalability and performance
Technological Framework
Cloud & Data Streaming:
- AWS Kinesis
- AWS EC2
- AWS Lambda
- AWS RDS
- AWS Redshift
Geo Analytics & Algorithms:
- Geometry Engine
- GeoPandas
- PostGIS Extensions
- Timescale DB
- Folium
Storage & Processing:
- DynamoDB
- MTurking
- Django Framework