Changing temperature and rainfall patterns are increasing the frequency of extreme weather events around the world. These include increased droughts, heavy rain, and intense flooding.
A United Nations report from 2016 estimates that these extreme weather events lead to economic losses of $100 billion globally. Agriculture-related businesses were 25% of these losses.¹
Most agriculture risk assessment requires field labor, making the process costly and time-intensive. Field research can only provide a limited view of a small geographic area.
Because of this:
Farm managers are unable to quickly respond to variable weather conditions, resulting in a loss of crops and livestock.
Financial institutions lose more money on agricultural lending, leading to lower insurance coverage and access to credit.
Governments are unable to have a broad impact through social programs around their agriculture industries.
Satellites give us detailed geographical and climate records of any place in the world, from the 1990s to today.
We build on field research by collecting and analyzing this data and combining it with other relevant information like commodity prices and news coverage.
We distill all of this information into clear risk-measurements for your needs . With a better view of the risks, you can make smarter decisions.
With our technology, you can:
Respond to developing risks with advanced warnings and decision insights.
Improve field operations with strategic information from satellites, sensors, and markets.
Monitor the health of large areas remotely and predict crop yields accurately.
Reduce your losses with smarter risk estimates and real-time monitoring.
Find accurate production and acreage estimates for any plot of land.
Improve loan management with relevant data and analysis.
Understand customer needs with smarter sales intelligence.
Get total visibility into every stage of your supply chain.
Develop effective agriculture policies with real-time information.
Your situation is unique: your system should be too.
We work closely with every customer to build a decision intelligence system specific to their needs.