Using Agriculture Analytics to Improve Field Trials

Crop scientists and statisticians share a proud history of making agricultural data useful. However, analytics requirements are changing as fast as the data sets themselves. Cutting-edge research and development firms can operationalize streaming weather data, multidimensional observations and volumes of drone-collected data. But most product developers struggle to capture a fraction of their data’s value.