In the last few years, John Deere has made several big plays in agricultural AI.
INDUSTRIAL JOHN DEERE DIAGNOSTIC SOFTWARE SERIES
Pathways to Just Digital Future Watch this tech inequality series featuring scholars, practitioners, & activists Other areas with the biggest potential are crop and soil monitoring, predictive analytics, and agricultural robots. A machine with blades that could dynamically adjust to the width of a corn stalk could increase yield simply by catching more of the harvest 8. Machines that harvest corn, for example, typically drop a percentage of the corn on the ground. Computer vision and machine learning technology can be used in every step of farming: tilling soil, planting seeds in the optimal locations, spraying fertilizer or nutrients, and harvesting 5. Machine learning has huge potential to revolutionize the way we farm. John Deere began incorporating aspects of precision agriculture in the nineties with self-driving technology in tractors, and today’s farm equipment is as high-tech as the average car. The company’s main technology focus is on what it calls “precision agriculture,” which incorporates technology into farming processes to increase productivity and yield 8. John Deere has long prided itself for its technology-forward mindset. The company’s iconic green tractors are one of the best-recognized machinery brands in America.
While it was founded in 1837 as a tool manufacturer, today the company focuses primarily on manufacturing heavy equipment for the agriculture industry.
John Deere is a giant in the agriculture industry, with nearly $30 million in annual revenues and a $48 billion market capitalization 6.
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