Smartphone App Helps Grape Growers Predict Vineyard Yields

Scientists at Cornell University have developed a new app that allows grape growers to predict their yields much earlier in the season and more accurately than costly traditional methods. Growers video grape vines while driving a tractor or walking through the vineyard at night, then upload the video for computer vision analysis. The method is less labor-intensive and more accurate than having workers count grapes in a sample section of the field and extrapolating the results to the entire vineyard. Researchers will field test the app this summer, and they intend the app to be open sourced.