The miniature, unmanned helicopter looks like a souped-up toy.

But it’s more like a crop scout with special, detailed eyes that can fly, or hover, over a field and report specific recommendations back to a farmer. Not just on the whole field. It can help pin-point what to do in precise locations in the field.

Companies and economic developers want to make Georgia the unmanned aircraft hub for agricultural use, laying the groundwork now to get this new technology up in the air in the next few years.

University of Georgia crop specialists are working with an unmanned helicopter now at the 600-acre Sunbelt Ag Expo farm site in Moultrie, Ga., using it to capture images every two weeks by flying it over peanut and cotton research plots located there.

 

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Middle Georgia State College Aviation Campus provides a four-man team to fly the “missions” over the fields. They use a five-foot long, 25-pound helicopter built by Guided Systems Technology, which is based in Stockbridge, Ga.

The machine uses GPS technology to fly programmed patterns over the fields, in this case 5-acre plots. A special waiver from the Federal Aviation Administration is needed to do this.

From takeoff to landing, it takes about six minutes to cover a five-acre plot. For a 300-acre field, it’d take the copter about 30 minutes to get the job done. The battery on the copter lasts about 30 minutes and costs 20 cents to charge back up, said Chad Dennis a program coordinator with MGSC.

The copter has pre-flight safety measures programmed in to it, said Dennis. If it loses contact with the ground crew, it immediately goes to a predetermined safety level in the air and hovers until remote contact is made again. If the connection stays down, the copter lands itself at one of several predetermined landing areas. A real person using a manual remote control device launches and lands it.

The copter captures images that show the Normalized Difference Vegetation Index, or NDVI, for the peanut and cotton plots. NDVI is a quantifiable visual way to show the live, green (or lack thereof) plant growth in the plots.

And it can tell a lot, says John Beasley, UGA Extension peanut agronomist working with this project.

It finds anomalies in fields, from large sections to individual plants, Beasley said, noting the technology saves man hours in the field coupled with precise information.

“The thing we are working out are the number of flights required and the timing of the flights to best know what is happening in the fields and what can be recommended to cover it,” Beasley said. “What a farmer can then do is be able to take these images — instead of spending hours and hours walking a field to find a problem or if there is a problem, to find it early and do something about it before it becomes a big problem.”

From pest identification to disease diagnosis to water needs to fertility corrections, the technology, Beasley said, has many applications in agriculture.