Now more than ever, drones can fly above a field and capture highly specific data. The hope is to take more guesswork out of farming – especially when critical field management must be made.
That’s what prompted drone data provider PrecisionHawk to create DataMapper, a platform that includes a collection of algorithms users can apply to their drone-collected data to answer various questions about their fields. One of the newer algorithms added is a waterpooling algorithm it developed with ADM Crop Risk Services for making more accurate flood damage assessments.
“Our mission is taking specific scenarios where the information might not be completely precise and you can use a drone to get insights you didn’t have before,” according to Thomas Haun, executive vice president of PresicionHawk.
The waterpooling algorithm is a perfect example of this, Haun explains. Farmers and insurance adjustors no longer have to estimate the percentage of an afflicted field. Now, they can fly a drone, capture the relevant data and run it through the waterpooling algorithm for an exact number.
Haun says drones can gather a tremendous amount of raw data, but ironically, they can leave operators “information starved” without the proper analysis. Although the waterpooling algorithm began as a project for ADM Crop Risk Services, he says anyone who subscribes to DataMapper can access and use it.
Haun says PrecisionHawk is on the lookout for other algorithm development partnership opportunities. The company treats DataMapper as an open network where farmers, agribusiness and others in the industry can collaborate and build meaningful tools for everyone.
For more information, visit www.datamapper.com. For all of AgWeb's drone coverage, visit www.FarmWithDrones.com.