Case Study: FRAVEBOT achieves data-driven greenhouse optimization and major time savings with GoodData

How To Optimize Greenhouse Management With Data-Driven Monitoring

FRAVEBOT is a Czech ag‑tech startup that builds autonomous greenhouse monitoring systems—FRAVEBOT Scout for plant data, yield forecasting and disease monitoring, and FRAVEye for automated sticky‑trap pest detection. Faced with vast volumes of images and environmental data and limited time and resources, the team needed an analytics tool that could integrate disparate data sources, turn raw data into actionable insights, and be easy for growers to use without building an in‑house solution.

FRAVEBOT chose GoodData to integrate, organize and visualize its data, quickly creating user‑friendly dashboards and multi‑tenant analytics that scale with the business. The integrated solution was deployed in commercial tomato and cucumber greenhouses and delivered fast results: 90–95% time saved versus building an in‑house system, an 85% reduction in manual data management and a 75% reduction in manual pest monitoring while improving detection awareness—helping growers prevent crop losses and optimize yields.

FRAVEBOT

Otília Porubiaková

R&D Data Science and FRAVEData Analytics Lead