The Weather-Predicting Tech Behind 62 Billion Monsanto Bid

A self-driving John Deere tractor rumbles through Ian Pigott's 2,000-acre farm every week or so to spray fertilizer, guided by satellite imagery and each plot's harvesting history. The 11-ton behemoth, loaded with so many screens it looks like an airplane cockpit, relays the nutrient information to the farmer's computer system. With weather forecasts and data on pesticide use, soil readings, and plant tissue tests pulled by various pieces of software, Pigott can keep tabs on the farm down to the square meter in real time without ever leaving his carpeted office. "This is becoming more standard," says Pigott, who grows a rotation of wheat, oilseed, oats, and barley on his farm in the rolling Hertfordshire countryside an hour north of London. German chemical company Bayer cited the growth in such digitally assisted farming as a key reason for its 62 billion bid for Monsanto, which has become a leading provider of analytics used by growers.