Vivid Machines

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   AI harvest tools predict crop timing from phone photos

   In Canada, Okanagan Specialty Fruits is testing a tractor-mounted camera system from local firm Vivid Machines that uses AI to spot buds, flowers and fruit as it moves through orchards, estimating yields and optimal harvest windows; experts say accuracy depends heavily on the quality of historical data and requires per-farm customisation rather than a generic model. In the UK, FruitCast gathers drone, smartphone or machinery imagery to help growers track ripening of strawberries, raspberries, blackberries, blueberries and tomatoes, with co-founder and COO Raymond Martin noting that strawberries must be picked as soon as they ripen. The lighter-weight Fruit Forecast app has growers film 50 representative plants each week and combines that with weather forecasts, variety data and fruit weight to generate four-week harvest projections; it is already on Android and Apple app stores and offers an API.

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