A project at the Olds College Smart Farm, called Advancing Agronomy Through HyperLayer Data Collection and Analytics, produces and stores agricultural data sets, including soil nutrient tests, moisture maps, topographical information, yield data, as well as multispectral and hyperspectral imagery. The information is used to train artificial intelligence and machine learning programs. |  Photo supplied by Alex Melnitchouk

Smart Farm stacks crop analytics

Data is stored in a standardized georeferenced format and used to find difficult-to-detect patterns in fields

Some of the most analyzed acres of farmland in the world are providing data that researchers in Alberta hope will advance the next generation of digital technologies for producers. “The main reason why it’s so unique, it’s not because it’s something completely new or something impossible,” said Alex Melnitchouk, chief technology officer of digital agriculture […] Read more