U.S. researchers have come up with a new method of estimating crop yields from small farms in Africa using high-resolution images from the latest generation of satellites—a development which could help cut hunger in poor parts of the world.
Improving agricultural productivity is one of the primary ways to lift people out of poverty. However, it’s difficult without accurate data to identify which growers need help, scientists from Stanford University say.
Images from new, relatively inexpensive satellites could be used to estimate yields and test interventions in poor regions where data is scarce, they say in a paper published Monday in the Proceedings of the National Academy of Sciences.
“Improving agricultural productivity is going to be one of the main ways to reduce hunger and improve livelihoods in poor parts of the world,” Marshall Burke, an assistant professor at Stanford’s School of Earth, Energy & Environmental Sciences, said in a statement. “But to improve agricultural productivity, we first have to measure it, and unfortunately this isn’t done on most farms around the world.”
While Earth-observing satellites have been around for more than three decades, most of their images haven’t been detailed enough to show the small agricultural fields common in developing countries. But with satellites becoming cheaper and offering improved image resolution, it is now possible to capture very small areas, the researchers say.
David Lobell, an associate professor at the school, said in a video that satellites that were once the size of school buses were now the size of fridges or even shoeboxes.
“You can get lots of them up there, all capturing very small parts of the land surface at very high resolution,” said Lobell, who co-authored the study. “Any one satellite doesn’t give you very much information, but the constellation of them actually means that you’re covering most of the world at very high resolution and at very low cost. That’s something we never really had even a few years ago.”
The researchers focused on western Kenya—where smallholders grow corn on half-acre or one-acre plots—to test if images from the new satellites were detailed enough to provide reliable estimates of crop yields.
“Just combining the imagery with computer-based crop models allows us to make surprisingly accurate predictions,” says Burke.
The researchers plan to scale up their project across sub-Saharan Africa.
Source: Reuters