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What role will AI play in agriculture in the future? As you'll see in one of this week's features, analytic AI is currently being used to predict crop disease. Wishing you a very merry Christmas and a happy New Year!
- Alex Barnard, Eastern editor
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According to a Statistics Canada report, farm cash receipts totalled $70.6 billion from January to September. Crop receipts fell 9.2 per cent to $37.6 billion due largely to a decrease in prices.
» Read More...
Producers submitted wheat samples to the Canadian Grain Commission’s Harvest Sample Program and the samples came back with 94 per cent of the crop in the top two grades.
» Read More...
New and recent corn and soybean varieties, improving corn grain quality and test weights in the Maritimes, a cross-Canada look at soybean root diseases, and more!
» Read more...
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Most six-row barley varieties grown in Western Canada are largely resistant to spot blotch, but many two-row varieties, which are commonly grown for malt production, are still susceptible. There are some two-row varieties that are resistant. Until now, barley breeders didn’t know exactly which part of their genome was providing this resistance.
» Learn more... |
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A collaborative, multidisciplinary research effort in Western Canada looking into risk factors contributing to blackleg severity is making use of AI. Researchers assessed models for their ability to predict blackleg severity based on five weather variables, flea beetle damage, root maggot damage and crop-rotation variables.
» Learn more... |
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As in every other industry, AI is taking off rapidly - and agriculture is no exception. Darrell Petras, CEO of the Canadian Agri-Food Automation and Intelligence Network (CAAIN) explains the specific ways AI is being used in agriculture right now, the challenges it might help solve in the future and the potential benefit to a farmer’s bottom line.
» Read More...
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