Google use case about Gamaya: Making sustainable global farming possible with groundbreaking imaging technology

Google Cloud results

  • Enables Gamaya to invest more deeply in its groundbreaking imaging solution, by reducing cloud infrastructure costs by 70%
  • Lightweight design and fast Google Cloud tooling reduces development time by 50%, with 10x faster VM deployment
  • Extensive Google Cloud GPU profile library enables 30%+ cost reduction for creating stitched orthoimage from drone images
  • Accelerates access to data-driven insights that help farmers to boost yield, avoid blights, and cultivate crops more efficiently

For Swiss agritech startup Gamaya, there's more to sustainable farming than meets the eye.

The company captures light waves that are invisible to human sight, by deploying hyperspectral imaging, a technology originally developed by NASA. This enables Gamaya to paint a hyper-realistic canvas of farmland in the full range of wavelengths, from ultraviolet to infrared, beyond the tiny palette that is available to our vision.

The insight behind it all? Healthy plants reflect light in different ways than diseased plants. So, by capturing every last nuance of light in fields from Brazil to India, Gamaya can create granular crop diagnostic heat maps that show farmers how to boost yield, avoid blights, and deploy only the water and nutrients needed for a bountiful harvest. It’s a groundbreaking approach that’s helping emerging nations to meet their rising food needs in a sustainable manner.

But the method calls for crunching staggering amounts of imaging data. Gamaya leverages drones to fly over industrial farms that cover the size of 25,000 football pitches, capturing tens of thousands of images with a proprietary hyperspectral camera and other imaging cameras (RGB).

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Article date: July 9, 2020

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