How AI innovation is improving agricultural efficiency
As I noted recently, organizations often find the biggest success through small steps with artificial intelligence. There are many examples of this at work, but Linux offers a great one. Linux started out as a student desktop experiment before it creeped slowly into companies as a reliable print server before eventually taking over the data center and the cloud (and Mars--it's on both the Chinese and U.S. rovers there). Incremental steps can add up to big things.
In the area of food production, it needs to. After all, if food production must nearly double as the global population reaches 10 billion by mid-century, as land under cultivation shrinks, we're likely going to need AI to step up to help feed all those people sustainably. But how?
One answer is to improve efficiencies through digital farming and AI. If we can get more and better crops out of less land, we also accomplish other worthwhile goals like helping to save family farms, mitigate climate change, save water, reduce pollution and build a better future on more sustainable agriculture that is better for us and for the planet.
