Case Study: Sencrop achieves real-time farming decisions and scalable data streaming with Confluent Cloud

How Sencrop Streams Data From 35K Weather Stations to Farms Across Europe

Sencrop, a real-time weather data provider for farmers across Europe, needed a more scalable way to deliver field-level insights as its business grew. With over 35,000 IoT weather stations and data from multiple forecast models, the company needed a solution that could support more advanced streaming features while avoiding the burden of self-managing Kafka.

Confluent provided Confluent Cloud, a fully managed data streaming platform that automated configuration and required no ongoing maintenance. With Confluent, Sencrop decoupled ingestion, processing, and storage, using stream processing and a data pipeline that feeds analytics and ML workflows. The result: farmers get accurate, real-time weather data to make better spraying and crop decisions, helping reduce risk, improve productivity, and maximize yields.

Sencrop

Mathieu Despriee

Chief Technology Officer