Our approach allows for instantaneous and spatially exhaustive soil parameter insights that are significantly more time- and cost-saving than conventional analytical methods.
With academic backgrounds in data science, software engineering and business, combined with a strong passion for earth observation we apply state-of-the-art machine learning in Graz to address current environmental challenges.
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