Algorithms

GENESIS (1&2)

QZ Solutions
2021-2023
European Space Agency

Problem:

Traditional soil monitoring is labor and cost-intensive, slow, and limited in scope, preventing farmers from accessing large-scale, real-time soil health data for effective crop management.

Solutions:

The GENESIS project uses machine learning and hyperspectral imaging on the Intuition-1 satellite to transform soil monitoring.

Key features includes:

  • Created algorithms for real-time soil composition analysis from space, tracking elements like pH and nutrients
  • Enabled large-scale, continuous monitoring, eliminating the need for ground sampling.
  • Provided farmers with accurate, timely data for informed decisions on fertilizer and crop management.
  • Streamlined precision farming by reducing manual interventions. Supported sustainable practices, enhancing yields and reducing environmental impact. has context menu.

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