Home / Crops / Promise of UAV as Crop Scouting Tool Highlighted at Ohlde Seed Farms Field Day

Promise of UAV as Crop Scouting Tool Highlighted at Ohlde Seed Farms Field Day

Bill Spiegel Updated: 08/21/2014 @ 9:32am I grew up in north-central Kansas, and am the Fourth Generation to maintain and manage our farm on which we grow wheat, soybeans and grain sorghum. I'm a 1993 graduate of Kansas State University in ag communications. I joined the Successful Farming/Agriculture.com team in 2014.

It may be a few years before you pilot your own unmanned aerial vehicle over farm fields as a scouting tool, but farmers are finding value in the quality and speed of data that UAVs can gather.

Shane Ohlde, manager of Ohlde Seed Farms in Palmer, Kansas, had a company called RoboFlight fly over wheat fields to determine the effectiveness of fungicide on winter wheat for the 2014 crop. He sees promise in using UAVs as another set of data to spot problem areas within his north-central Kansas fields.

Ohlde invited Kevin Price, senior vice president of applied research/technology development at RoboFlight, to his seed company's annual Technology Day on August 20.

Based in Des Moines, RoboFlight is becoming one of the nation's leaders in a growing agricultural UAV industry, which is expected to generate $13.6 billion in revenue in three years and create nearly 10,000 jobs in the agriculture industry alone by 2025.

How UAVs Work

Small UAVs fly above farm fields, grabbing high-resolution imagery of fields from a bird's-eye view. UAVs can scout a field in minutes through the air; that same field could take a farmer or crop scout hours to evaluate from the ground. It gathers data through remote sensing, measuring light reflection from the plant's photosynthesis to determine plant health, or lack thereof.

RoboFlight is among the companies who build drones for agricultural use and can sort through the data generated by the UAVs. For example, RoboFlight can combine high-resolution, geo-referenced NDVI (normalized difference vegetative index) maps with other data-driven maps, such as nutrient recommendation, yield maps, variable-rate seeding maps, and more.

The company also generates remote-sensing information using small airplanes.

Data gathered by the machine in flight is analyzed by the company's digital image processing team, which provides NDVI maps to customers within a few days.

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