As more farms turn to artificial intelligence, one urban farmer is using it to get a better idea of yields.
“We started to notice that the data for deficiencies started to pop up before, let’s say a horticulturist was on site, able to, like, look at one of the leaves and say, hey, something’s going on. So we felt like this was being really proactive and getting consistent to where we understood every time they harvest the level of lettuce, how many pounds that was going to be,” said Clayton Mooney.
However, Mooney says they eventually retired that system because they could not pinpoint key data sets. He says they now use artificial intelligence more on the consumer side for flavor profiles and menu styling.
Related Stories
Mexico’s tougher, two-step treatment and added checkpoints are catching cases before they can spread—good news for producers near the border.
Jack Daniel’s will end its Cow Feeder Program, which served around 100 livestock operations near the distillery, and redirect spent grains to its anaerobic digester.
Prepare for acute UAN risk and a brief urea shock; maintain steady ammonia and phosphate plans, and monitor potash basis on the coasts.