University of Michigan - Ann Arbor

Artificial intelligence (AI) is applied in agriculture to improve soil management and combat the reduction of farmable land caused by desertification, pollution, and climate change. High-quality topsoil takes centuries to form and depends on complex variables such as climate, parent material, and biological interactions. AI-driven technologies address these challenges by combining computational analysis, genome sequencing, and data science to assess soil health from physical samples. These systems analyze the collected data to provide customized, actionable recommendations that help farmers optimize soil conditions and improve crop yields.

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