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Vivid Machines' AI cameras help Washington apple grower predict harvest timing

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GoKawiil Brief

Okanagan Specialty Fruits, which farms over 1,250 acres of apple orchards in Washington State, is testing camera-based AI from Canadian firm Vivid Machines to forecast crop yields and optimal harvest dates. The cameras, mounted on tractors, capture images of trees so AI can identify buds, flowers and fruit, producing crop estimates alongside weather-informed harvest timing. Company representative Joel Carter says the system catches small flower buds humans might miss, though forecast accuracy depends on the quality of historical data fed into it.

Why It Matters

GoKawiil's interpretation of the reporting above, not reported fact.

Harvest timing errors can be costly: hiring seasonal workers too early or too late wastes money, and for high-value, perishable crops like berries, missing the optimal picking window can mean losing out on peak prices. Extreme heat, as seen last year in Washington, can also force work stoppages, making predictive tools potentially valuable for scheduling labor around both ripeness and worker safety. The reliance on historical data quality suggests these AI systems may need region- or farm-specific tuning to be reliable, which could affect how quickly growers adopt them.

Key Takeaways
Worth a Look

Kestrel 5500 Weather Meter — For growers timing a harvest around heat and weather risk, a rugged handheld weather meter like the Kestrel 5500 gives instant, on-the-spot readings of temperature, humidity, and heat stress conditions in the orchard. It's a practical complement to AI harvest-prediction tools, helping farm crews decide in real time when it's safe and optimal to keep picking.

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Source: bbc.co.uk — Watch Our Pick Of Standout Clips Across The Bbc, 2026-09-30

Published there as: “The AI telling farmers when to harvest”

Read the original report → The summary and analysis above are GoKawiil's own, written from reporting by the source above. Facts and quotes belong to the original publisher.