Data-driven agriculture: John Deere seeds farm innovation with AI

Here's how John Deere's smart machines collect big data that helps farmers adapt to climate change.

John Deere is bringing AI and autonomous technology to farms and fields across America. Jorge Heraud, VP of Automation and Autonomy at John Deere, explains how the company uses machine learning and robotics to help farmers be more productive and efficient.

Using stereo cameras, GPS, and obstacle detection, John Deere has developed driverless tractors that operate safely at low speeds in open fields. While still in testing, Heraud expects rapid deployment once the tech is commercialized.

Importantly, farmers remain in full control, directing when and where the autonomous equipment operates. This allows them to focus their time on the human aspects of agriculture while machines handle routine tasks. Heraud says autonomy will give farmers more time with their families during intensive harvest seasons.

"Farmers are stewards of the land. They care deeply" about the environment because it directly impacts their lives and livelihoods, said Heraud. “In many cases, they inherited that land and want to pass it to [future] generations. So taking care of the land … is very important for them.”

The data gathered by John Deere's smart machines also helps farmers adapt to climate change by tracking crop yields and planning more targeted planting.

Though still nascent, automation promises to transform farming, making it more efficient, productive, and sustainable. John Deere's commitment to developing AI and autonomy for agriculture shows even rural America is on the leading edge of technological change.