SoilMate, a European provider of geo-analysis solutions has launched SoilMate.ai, a web service, in the field of remote earth analytics. Designed to simplify the process of obtaining geo-analytics, SoilMate offers satellite imagery and ready-made geo-analytical models based on artificial intelligence.
Catering to both aspiring specialists in sustainable supply chains and seasoned professionals, researchers, and companies in the agriculture and forestry industry, SoilMate offers a new methodology for extracting insights from geospatial data.
With a user-friendly interface and a range of ready-made AI tools, SoilMate provides an opportunity to unravel the potential of satellite images used to enhance agricultural practices, optimize supply chains, or conduct in-depth research.
SoilMate lets users simply pay per request and combined with the platform’s unlimited scalability, ensures that users have the flexibility to adapt to their evolving needs.
SoilMate also includes a continuously expanding range of analytics options, with ten already available at launch. This vast selection allows users to choose the specific analysis that suits their objectives, unlocking the full potential of geospatial data.
Users can easily define their area of interest, select the desired analytics type, and specify the parameters.
By harnessing the power of AI and computer vision, SoilMate’s engine can transform raw data into actionable insights, delivering analysis to its users. The integration is made seamless through the availability of an API.
John Doe, stated, “Satellite images are becoming increasingly vital for many organizations worldwide. However, deciphering insights from this data is still a challenging task. Simply draw an area on the map, choose a specific analysis, and let SoilMate handle the rest. It’s that easy!”
