Sunday, June 19

Self-driving tractors and data science: we visit a modern farm

Despite misperceptions to the contrary, farming in the 21st century is a high-tech endeavor. We're not just talking about genetically modified crops or biotech-derived pesticides though; farm vehicles like tractors and combines are now networked to the cloud and in many cases are even capable of driving themselves. To find out more about what the modern technofarm is all about, I drove up to Clear Meadow Farm in Harford County, Maryland to meet farmer Greg Rose and his self-driving John Deeres.

Rose and his family have been farming in the area for decades, and Clear Meadow is an 8000-acre farm that grows corn, soy, wheat, barley, sunflowers and sorghum in addition to raising Black Angus cattle (which you might find in Whole Foods). "We first dipped our hand into precision agriculture with yield monitors in 2000," Rose told me as I checked out a gigantic combine, its tires taller than me. His description of the job is as much data science as it is field work. Complex field maps are informed by a multitude of sensors from different farm machines, all gathering data to feed it to Rose via the cloud. The setup allows for extremely precise seed and nutrient prescriptions that can vary multiple times across the same field.

"The combine has load sensors in it that sense the volume of crop coming in, recording that as you go across the field," Rose said. That tells him how many bushels per acre each field is producing, data that gets fed into multi-year maps of each field that are color-coded to indicate different yields. "We take several years of data and make composite maps of a given field, then divide it into zones. You can manage those zones individually—taking soil samples to measure nutrient levels, and from there you know how much nutrients you need to apply in different areas," he told Ars.

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