Canadian firm Resson is which is using imagery analytics to help deliver an increase in crop yields for companies such as McCain

“We’re going from precision agriculture to decision agriculture. And we’re trying to drive that revolution,” states Giri Baleri, VP for marketing at Resson, a university spin out from New Brunswick in Canada. Resson uses imagery combined with farm data to provide a range of analytics to growers.

One goal, he explains, is to detect issues like disease and pests, and preferably before they arrive.

Often there’s no rain during an entire summer, so you have no option but to pump water

Resson has been working with potato chip producer McCain to improve its growers’ harvests. Thanks to machine learning, its systems can diagnose the presence of viruses and pests, such as the beetles that eat potato foliage and so dent crop quality. This year it will have a limited commercial roll out with potato farmers across more than 10,000 acres in eight different geographies, and separately with a spinach grower in Arizona.

Water is also a target. “Often there’s no rain during an entire summer when plants are growing and ripening, so you have no option but to pump water, which costs money both for energy management and water rights,” says Baleri.


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McCain  machine-learning  agri-tech  precision agriculture 

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