How NVIDIA Is Bringing AI to Agriculture
Agriculture has a big data problem. With the implementation of autonomous robots and other advancing technologies, farm equipment is gathering more information than ever before, writes Karli Petrovic at GOFAR. Normally, this would be a good thing. More data often translates to greater knowledge, deeper insights and better decision-making — if you can understand it, that is. This is the challenge for farmers. The data is available, but the ability to interpret it and use it effectively can be tricky.
That’s where NVIDIA comes in. The accelerated computing company is developing solutions that help farmers do more with their ag equipment, the technologies that power the machines and the data that is collected as a result. It’s a big job. NVIDIA has the expertise to get it done.
“People often wonder what a company that makes chips and hardware is doing at an agriculture event like FIRA, but we’re not a general purpose computing company,” says Amit Goel, NVIDIA’s head of product management and ecosystem. “Accelerated computing requires you to have a deep domain understanding. You really need to know the application and understand the customer’s workflow and figure out how you can map it. We see all the issues that an industry faces, and we try to see where we can add value. We’re thinking about how we can solve agriculture’s problems using our computing platform.”
NVIDIA is engaged with the agriculture industry in a number of important ways. One big project within the company is Earth-2. The technology provides high-resolution climate and weather simulations to help farmers and others predict weather conditions and act based on what they learn. NVIDIA also uses generative artificial intelligence and large language models to help ag professionals aggregate the massive amount of data they collect and consume it in a way that enables them to answer questions and make informed decisions.
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Given the increasing interest in autonomy and automation for farming applications, NVIDIA also creates solutions that focus on the entire lifecycle of how robots are designed, developed, deployed and managed. The company’s robust computing platform combines hardware and software, and is equipped to handle the full range of robotics needs.
“There are two main computers that you need to design for autonomous applications,” Goel says. “The first is the AI Factory or the big computer. This is something that can live in the cloud or can live in the data center. Then there’s a second computer, NVIDIA Jetson, which is what lives on the machine. This is what goes on a tractor. This is what goes into a drone. This is what’s used in a cart that moves around the field.”
Read more at GOFAR.
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