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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
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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

Use cases related to Agriculture & Meteorology

Detecting pest and weed infestation

Entity recognition in news articles and free text

Harvest and crop price prediction

Thunderstorm damage analysis and claim processing

Blog Posts related to Agriculture & Meteorology

May 11th

2020

Pretraining for Remote Sensing

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December 18th

2019

Machine Learning Approaches for Time Series

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November 11th

2019

Detecting clouds in satellite images using convolutional neural networks

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May 24th

2019

Semantic segmentation of satellite images

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