Research: Systems Integration


Monitoring of agricultural crops is still accomplished primarily through the expensive, labor-intensive, and time-consuming process of crop scouting, by manual sampling and documenting the state of the field. Precision agriculture involves the use of technology to acquire and analyze data from the field. However currently technologies such as sensors are limited or non-existent to spatially, temporally, and compositionally monitor the state of the field, data is coarse-grained and siloed in equipment, communications infrastructure is limited or non-existent on the farm, and interventions are reactive and over-provisioned, increasing economic and environmental costs. While the concept of precision agriculture has existed for 30 years, the exponential growth in information technology and data science and the reduction in their cost is setting the stage for the next revolution in agricultural practices.


IoT4Ag will create novel, integrated systems that capture the microclimate and spatially, temporally, and compositionally map heterogeneous stresses for early detection and intervention to better outcomes in agricultural crop production. The Center will create internet of things (IoT) technologies to optimize practices for every plant; from sensors, robotics, and energy and communication devices to data-driven models constrained by plant physiology, soil, weather, management practices, and socio-economics.



  • Multi-mode, low-cost, distributable, environmental and soil sensor technologies 
  • Autonomous aerial and ground-based robots 
  • Energy storage and delivery technologies for field-scale operation 
  • Ag-specific communications 
  • Biophysically-constrained data-driven models for field analytics
  • Decision-Ag interface for field management and improved outcomes