Can your smartphone predict the future of wine?
Cornell University engineers have teamed up with plant scientists to develop an app that predicts the yield of vineyards earlier in the season and much more cheaply than traditional methods. The computer vision based system is simple to implement and use around the globe.
The work has recently been published in Frontiers in Agronomy: http://dx.doi.org/10.3389/fagro.2021.648080
#sciencenews #wine
Cornell University engineers have teamed up with plant scientists to develop an app that predicts the yield of vineyards earlier in the season and much more cheaply than traditional methods. The computer vision based system is simple to implement and use around the globe.
The work has recently been published in Frontiers in Agronomy: http://dx.doi.org/10.3389/fagro.2021.648080
#sciencenews #wine
Frontiers
Low-Cost, Computer Vision-Based, Prebloom Cluster Count Prediction in Vineyards
Traditional methods for estimating the number of grape clusters in a vineyard generally involve manually counting the number of clusters per vine in a subset of the vineyard and scaling by the total number of vines; a technique that can be laborious, costly…