Case Study - Smarter Farming with a Scalable Digital Agriculture Platform, DAS
DAS (Digital Agriculture Service) is a smart farming platform that delivers crop yield predictions and actionable insights through interactive maps and data visualizations.
- Client
- Cropping Hub
- Year
- Service
- Frontend development, Data pipeline, Cloud integration, Map visualization
Overview
Modern agriculture demands smarter tools. The original DAS platform lacked interactivity and automation, making it hard for users to understand real-time agricultural conditions and predictions.
We rebuilt the frontend using Angular and MapLibre to offer smooth, interactive mapping and data visualizations. On the backend, we used Nest.js and set up a scalable ETL pipeline that extracts prediction results from BigQuery once the machine learning models complete. This pipeline was implemented using GCP Cloud Functions for event-driven execution.
The entire system was deployed on GCP and leverages managed PostgreSQL for reliable, scalable storage. The end result is a more powerful, real-time tool that supports better planning, yield estimation, and agricultural decision-making.
What we did
- Angular
- Nest.js
- GCP deployed
- PostgreSQL
The new platform provides insights that are both deep and easy to act on. It’s a real game changer for our data workflows.
Lead Agronomist