Pioneering Advanced Hardware and Computing for Agriculture

Plants interact with their environments above and below ground, shaping their growth, health, and adaptability. Decoding these interactions at a biological level is key to driving sustainable agriculture, but field-based systems have long struggled to measure such complexities at scale.

CROPPS researchers integrate above and below ground robotics, nanotechnology, and advanced computing to decode plant communications. We model plant responses across genetic backgrounds and environments. These innovations provide real-time, plant-driven decision-making in agriculture, where plants signal their requirements or are provided triggers that generate a plant response. The tools and models developed through this work lay the foundation for a more resilient future in agriculture.

Leads: Robert Shepherd, Meagan Lang

Research Goals

  • Develop field-ready technologies to measure biological, chemical, and optical parameters directly from plants.
  • Use hybrid robotics to study above- and below-ground components of plants, including roots, shoots, and the rhizosphere.
  • Build data systems that assimilate multiple sources of data and apply models to make intervention recommendations