Provide deeper insights for your clients by spending less time on data procurement and more time on analysis.

Quickly understand major trends in agriculture by leveraging the power of having all of the relevant data in one place
Develop predictive models for clients using Gro’s comprehensive suite of historical and current data
Improve analyses by using Gro’s suite of geospatial data, which monitor global weather and environmental conditions
Build beautifully intuitive visualizations that are easily exportable to client decks
Pre-built Crop- or Region-specific Displays
Understand new agriculture markets quickly by using Gro’s pre-built crop- or region-specific displays, which feature supply, demand, and fundamental agriculture data for your topic of interest. Who are the largest cocoa producers and how has that changed over time? What are macro trends driving shifts in supply and demand? Where will China be sourcing soybeans from in the next five, ten, or fifteen years? These are questions that these dynamic displays can help you understand
Ag-specific Visualizations
The Gro Web app offers a multitude of ag-specific visualizations, such as balance sheets, crop calendars, and choropleth maps. Export these charts to your PowerPoint presentations to better communicate your strategies to your clients.
API Access
Access to Gro’s API allows you to link your own systems directly to the most comprehensive agriculture database, which allows you to:
  • build your own predictive models
  • combine Gro data with your private data
  • create bespoke data visualizations
  • deploy new ways of consuming Gro data inside your organization
A Consulting Use Case
A client may ask you to make an assessment of an environmental catastrophe on one of their supplier markets. How bad will the drought actually be? Will it impact crop yields this season? You can validate market conditions in media reports by using satellite data.

For example, in 2016, markets were reacting to reports of a drought in Tanzania, which would greatly reduce yields of corn, a growing export for Tanzania. However, despite a drastic drop in rainfall, the overall health of crops and vegetation across the country was not as adversely affected. This could be explained by looking at evapotranspiration. Evapotranspiration is a measure derived from satellite data that can help you better understand the real impact of drought on agriculture. It measures the amount of water evaporating from the soil and transpiring from the crop in its metabolic process. As early as February—when rainfall was lower than expected—evapotranspiration still looked healthy. The high levels of evapotranspiration implied that the amount of water available to plants within the soil was higher than normal and enabled crops to be resilient to the impact of poor rainfall.
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