Precision crop load management - and the computer vision technology that is gradually improving its accuracy—was a major topic during the Cornell Cooperative Extension Lake Ontario Fruit Program’s annual summer tour held in Orleans County, New York,on Aug. 9.Cornell fruit crop physiologist Terence Robinson said Cornell has developed crop load management methods in the past, but most involved hand counting of blossoms or fruitlets, a tedious task that few growers are willing to do consistently. But there are companies developing computer vision technologies that can count and size fruit with special cameras and other sensors, replacing hand measurements with images and algorithms and saving growers a lot of time and frustration, he said.
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