John Deere Leaps Into Silicon Valley to Feed the World.
John Deere invests heavily as machine learning technology offers the next revolution in agricultural production.
In 2017, the world's largest tractor company spent $305M to acquire a startup that distinguishes lettuce from pigweed. As a result, US farmers are freeing themselves from Monsanto's Roundup. Is John Deere's machine learning approach the future of ag tech?
How do we feed a growing population in the face of a changing climate and diminishing natural resources, all while protecting our planet? Monsanto thinks it has the answer: machine learning.
Farming is a centuries-old industry that continues to play a pivotal and understated role in the landscape of today’s society. Modern agriculture companies are turning to big data to innovate the farming process and make it sustainable for the future.
Farmers Business Network (FBN), a HBS grad-founded startup, is disrupting the agriculture sector by crowd-sourcing farmer data. FBN has managed to apply machine learning techniques to aggregated farmer data to generate actionable insights around input use and crop marketing for farmers.
The world faces a fundamental food problem: quantity versus quality. For the last several decades these two notions have been at odds, with the gap widening. What can put a stop to this?
Applying machine learning to agriculture, John Deere is committed to innovation.
John Deere, known for its iconic green tractors, has been making big strides into AI-driven precision agriculture.
Uberization is taking place in the agricultural space. A Chinese startup Farm Friend is bringing on the revolution.