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Smart farming

Smart farming / Fraunhofer IKS

The goal of smart farming is to make farming more sustainable, more efficient and more resistant. Digitalization and automation can help the agricultural sector to meet challenges like the growing demand for food, the skilled worker shortage and climate-induced extreme weather events. Technologies like machine learning and neural networks make it possible to optimize fertilizer distribution, for example, and enable autonomous driving of agricultural machinery.

Fraunhofer IKS supports manufacturers of agricultural machinery, agricultural technology and agricultural software in the development of solutions for smart farming. Smart farming focuses on four application areas:

  • Sensor, satellite and drone data
  • Smart crop / livestock monitoring
  • Autonomous agricultural machinery and robotics
  • Smart building / farm management & IoT

For more information about the research of Fraunhofer IKS on smart farming, visit our website: Smart farming