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Agriculture & Meteorology

Optimize crop yields and improve weather forecasts

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With Machine Learning, agricultural operations and weather services can be optimized by:

  • automating satellite imagery analysis, e.g. for cloud classification

  • early detection of pest and weed infestation from drone imagery

  • automatically retrieving weather and yield information from websites and news articles

Case Studies related to Agriculture & Meteorology

Computer Vision

Convective clouds detection

We automated the detection of certain cloud structures for Deutscher Wetterdienst (DWD).
Our solution
© unsplash/@nicolasp
Computer Vision

Crop Type Classification

Predict crop types from satellite data to support modern agriculture
Image which visualizes the process of crop type prediction Our solution
© Anthony Rosset
Computer Vision

Monitoring urban growth and change

An image segmentation algorithm that supports sustainable city planning.
Our solution