/* ---- Google Analytics Code Below */

Tuesday, October 22, 2019

John Deere Labs

So true, been involved in several related projects.   See my agriculture tag posts.  Good to see Deere involved and the emergence of their lab.

Want a Really Hard Machine Learning Problem? Try Agriculture, Says John Deere Labs

John Deere, the nearly 200-year-old tractor manufacturer, now considers itself a software company
By Tekla S. Perry in IEEE Spectrum

What’s the world’s hardest machine learning problem? Autonomous vehicles? Robots that can walk? Cancer detection?

Nope, says Julian Sanchez. It’s agriculture.

Sanchez might be a little biased. He is the director of precision agriculture for John Deere, and is in charge of adding intelligence to traditional farm vehicles. But he does have a little perspective, having spent time working on software for both medical devices and air traffic control systems.

I met with Sanchez and Alexey Rostapshov, head of digital innovation at John Deere Labs, at the organization’s San Francisco offices last month. Labs launched in 2017 to take advantage of the area’s tech expertise, both to apply machine learning to in-house agricultural problems and to work with partners to build technologies that play nicely with Deere’s big green machines. Deere’s neighbors in San Francisco’s tech-heavy South of Market are LinkedIn, Salesforce, and Planet Labs, which puts it in a good position for recruiting.

“We’ve literally had folks knock on the door and say, ‘What are you doing here?’” says Rostapshov, and some return to drop off resumes.   .... " 

No comments: