Smart Agriculture


The digitization in agriculture is increasingly being adopted with huge economic and ecological benefits. Weather forecasts, satellite images, biophysical parameters, soil analysis measures along with images from field robots and drones are just some of the various types of data that are correlated in order to optimize production processes, growth conditions and mitigate risks. Data science has done huge leaps providing a plethora of libraries and frameworks to facilitate scientists in their complicated tasks of developing algorithms that predict future events and propose adapted actions. Nevertheless, to effectively pass into production, experts have to consider different sources and types of data, cope with the limitations of the underlying hardware compute infrastructure, take into account the specificities of the algorithms while dealing with data collection temporality, time criticality and data privacy. Ryax is a software addressing these exact issues with a platform that allows data scientists to create, deploy and manage data analytics workflows simply, by abstracting the complex data engineering plumbing.

Read about other Ryax use cases

  • Industry

    Ryax offers a data engineering platform that facilitates the creation and deployment of Industry 4.0 data analytics workflows, from industrial automation to predictive maintenance.

  • Mobility

    Ryax addresses mobility challenges through its data engineering platform by enabling a seamless development, deployment and monitoring of workflows in hybrid edge-cloud computational environments.

  • Pharmaceutics

    Thanks to its abilities to orchestrate complex data processing over distributed infrastructures, Ryax can seamlessly address lab automation projects, AI-powered nano-molecules research or drug discovery endeavours using machine learning.

Ryax tackles new use cases every day.

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