Lobell's team examined an unprecedented amount of detailed field data from more than 1 million USDA crop insurance records between 1995 and 2012.Wonder what other conclusions could be supported by "Big Data" in the form of FSA or RMA datasets?
"The idea was pretty simple," he said. "We determined which conditions really matter for corn and soy yields, and then tracked how farmers were doing at different levels of these conditions over time. But to do that well, you really need a lot of data, and this dataset was a beauty."
The takeaway appears to be this: "But in the past two decades we saw very small yield gains in non-irrigated corn under the hottest conditions. This suggests farmers may be pushing the limits of what's possible under these conditions."
Blogging on bureaucracy, organizations, USDA, agriculture programs, American history, the food movement, and other interests. Often contrarian, usually optimistic, sometimes didactic, occasionally funny, rarely wrong, always a nitpicker.
Thursday, June 26, 2014
Research Using Acreage Report Data
Here's a report from a Stanford team which used acreage report data.
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