Corn, Soybeans, Cotton and Sugarcane:

- Spatial database creation, maintenance and organization

- Variable rate prescription maps for correctives, fertilizers and seeds.

- On farm experimentation design and statistical analysis

- Multi year analysis using machine learning to support agronomic decision

Pasture and rangelands:

- Biomass map generation / yield map

- Variable rate of nitrogen fertilization using active sensors

- Soil fertility analysis and mapping

- Animal Unit (AU) per area adjustments to optimize stocking rates

Machine Learning and Artificial Intelligence:

- Big data analysis and algorithm training

- Variable rate recommendations using localized data collected for each agricultural system and producer specifics

- Yield forecast and region benchmark