Let’s say you have a row of grapes that represents average yields in your entire vineyard. By counting clusters in that row you have a quick measure of the relative cluster counts over that row’s length. This measure can then be easily expanded across the entire vineyard area.
To help with this process, we have developed some open resources that can use a cellphone video as input, and a cluster count as output. We have written a public Google Colab that is freely available and can detect, track, and count flower clusters in video files. This makes it possible to get a rough count of clusters over a given distance in a vineyard. Here we’ll walk you through the steps to use our Colab notebook—a free tool from Google—to upload and analyze your own cluster videos using one of our pre-trained models. This Colab notebook is compatible with custom object detection models as well.