Drones fly over citrus groves, counting and categorizing trees. On the ground, robotic arms collect pests from tree branches to determine which trees need to be treated. Multispectral imaging collects spectral data from tomato plants, the better to detect diseases like target spot and bacterial spot before they spread throughout a field. Ground-based remote sensing equipment scours groves, up to one row and down the next, to survey for green vs. ripe fruit. Machines straddle rows of peppers, sensors spotting and spraying weeds only as they encounter them.
And behind the scenes a new cloud-based software called Agroview sucks up all the data, analyzing it and synthesizing it into chunks that scientists — and farmers — can use to make better decisions.
UF agricultural engineer Yiannis Ampatzidis says artificial intelligence — the convergence of new tools for data collection with cloud computing to analyze the explosion of information — is changing the face of agriculture in a way that is nothing short of revolutionary.
“Revolution is the perfect word,” says Ampatzidis, an assistant professor of agricultural and biological engineering in Immokalee at the SWFREC, a part of UF’s Institute of Food and Agricultural Sciences.Learn more about Artificial Intelligence Leads the Way in a Sea Change for Agriculture.