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Texas A&M AgriLife Officials: Unmanned Air Systems Could Boost Crop Production

By Gabe Saldana
 
Unmanned aircraft systems, known as drones or UAS, could be an important tool in boosting agricultural production to accommodate a roughly 30 percent global population increase to 9 billion people by 2050.
 
That was the message delivered by Bob Avant at the 2017 Texas UAS Summit May 10 at the Kay Bailey Hutchison Convention Center in Dallas. Avant is director of corporate relations for Texas A&M AgriLife Research at College Station and responsible for overseeing a major UAS research project involving more than 20 scientists in College Station.
 
“We’re going to have to have smart agriculture in the future,” he said. “We’re going to need to work very hard to get as much yield per acre as we can. That means precision agriculture, and UAS would be one tool in the tool box.”
 
The annual summit is a discussion hosted by the Texas A&M University System on the current state and advancement of UAS. This year’s event took place as part of the AUVSI XPONENTIAL, which organizers said drew more than 7,000 visitors and global leaders in drones, intelligent robotics and unmanned systems to the convention center.
 
Avant led a panel discussion on the role of UAS in agricultural data gathering. UAS experts from Texas A&M Dr. Dale Cope, associate professor in the department of mechanical engineering in College Station; Dr. Jinha Jung, AgriLife Research scientist at Corpus Christi; and Dr. Sanaz Shafian, postdoctoral research associate in the department of soil and crop sciences in College Station, rounded out the panel.
 
The group reviewed their collaborations in data collection, which Cope said are part of an ongoing initiative toward advances in crop production using UAS to quantify characteristics for about 250 acres of experimental farmland weekly.
 
Researchers are working to improve technologies that now allow them to observe characteristics like crop height, canopy cover and bloom patterns, they said. Disease identification, water stress, pests and weed threat data collection are also emerging capabilities of the technology.
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