Alphabet’s X, the secretive lab charged with finding radical “moonshot” solutions to some of the world’s biggest problems, is exploring ways in which AI could dramatically improve food production. Astro Teller, the head of X, revealed the plan at MIT Technology Review’s annual EmTech Digital event in San Francisco.
Teller declined to give specific examples, saying X’s team hadn’t yet zeroed in on particular approaches, but he hinted that it was looking at how machine learning could be combined with advances in areas like drones and robotics to advance farming practices.
To be worthy of X’s attention, a project must fulfill three criteria: it has to potentially solve a problem that affects millions or billions of people; it has to involve an audacious, sci-fi-sounding technology; and there has to be at least a glimmer of hope it’s achievable within five to 10 years.
AI-driven agriculture seems a perfect fit. The Food and Agriculture Organization of the United Nations estimates that 20 to 40 percent of global crop yields are lost each year to pests and diseases, despite the application of millions of tons of pesticides, so finding more productive and sustainable farming methods will benefit billions of people. As our coverage from this week’s conference shows, AI is certainly an audacious technology, and the speed at which it’s advancing means X’s time frame feels achievable.
Discussing the challenge ahead of his presentation, Teller said that farming is a hugely complex undertaking, so X isn’t taking it lightly. He cited several areas where machine learning could potentially help farmers. One would be using the tech to amplify their expertise in crucial areas like deciding when to harvest crops or apply irrigation.
Another would be to plan their farming in environments where climate change is making it ever harder to forecast weather patterns and predict how pests and other factors can affect production.
Asked if this will involve drones, ground-based robots, or a combination of the two, Teller said it’s really early, though he noted that it helps to have machines very close to what they’re looking at.
X has been looking into agriculture for quite some time. A few years ago, it launched a project on vertical farming, which involves growing crops indoors on racks that stack on top of one another. It made some progress in automated harvesting and other areas, but eventually it shut down the initiative because it could not grow staple crops.
Also, there are plenty of startups and bigger companies experimenting with using robots to harvest things like strawberries, gathering data about crops via drones, and more. Still, with the brainpower—and AI power—available at Alphabet and X itself, the lab should be able to harvest some innovative new ideas to transform farming.