AgriData Japan
Our Challenge
AgriData collects sensor data from farms across Japan to provide farmers with insights on soil, weather and crop health. They wanted to create a data mesh to empower various stakeholders (farmers, agronomists, researchers) while maintaining data quality and security.
Solution & Steps.
- Data Mesh Architecture. Designed a mesh of domain‑oriented data products, each owned by a specific team. Used Apache Kafka for data sharing and Schema Registry to enforce standards.
- AI/ML Preparation. Built pipelines to process sensor data using Spark and prepared features for ML models that predict irrigation needs and pest outbreaks.
- Cloud Data Solutions. Deployed the platform on Google Cloud using BigQuery and Dataflow for streaming analytics.
- Governance & Training. Implemented data catalogs and lineage tracking. Trained farmers on using dashboards to interpret insights.
Results.
Farmers could access near‑real‑time recommendations, improving yields by 12 %. Researchers leveraged the mesh to build new models without hand‑crafted ETL, accelerating innovation.
Business Impact Result
Results & Benefits
- Reduced average incident resolution time from 4 hours to 35 minutes
- Eliminated 90% of after-hours emergency calls
- Cut monthly maintenance time by 60%
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