INRAE | France
Mr. Mohamed El Ouati is a research engineer in computer science at INRAE, working on monitoring, diagnosis, and planning systems for agricultural robot fleets. He develops real-time web supervision interfaces and integrates robot data streams for geovisualization, while also building data-driven diagnostic and planning modules. He has designed and deployed a scalable data lake for agricultural robotics, supporting real-time and batch data ingestion, metadata management, Smart Agriculture and advanced analytics. His work leverages technologies such as ROS, Kafka, Hadoop, PostgreSQL/PostGIS, and Docker, bridging robotics and big data for intelligent farming.
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