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Outfield’s New York Tour
It was late at night and snowing when Jim and I arrived in Rochester, New York, and the air was a balmy 28°F (or -2°C). Fortunately the pineapple themed Airbnb that we had rented was nice and warm! We had flown out to Rochester at the end of March to meet with Outfield users and
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THE FRUITLET SIZE DISTRIBUTION (FSD) MODEL: A HOW-TO GUIDE (2024 update)
LAURA HILLMANN AND TODD EINHORN, Michigan State University einhornt@msu.edu Fruit set prediction models aim to produce timely estimates of fruitlet abscission after thinner applications to guide precision crop load management. The time to generate a prediction after an application is important to facilitate grower decisions to re-apply thinners while they are still efficacious, avoiding expensive
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Dialing in crop load data with machine-learning management
International Fruit Tree Association meeting dives into sensor systems making progress on providing accurate, actionable crop load data. March 15, 2024 Good Fruit Grower The dream of managing crop load with sensors and smart sprayers moves closer to reality with technological innovation every season. But it’s a complex dream, with evolving vision systems, new spray
PACMANPrecision Apple Cropload MANagement