The Murcian company Moyca Grapes has implemented an automatic grape counting technology, which has an accuracy of 90% to 95% in estimating final production, on 600 hectares of its vineyards.
The system uses artificial vision cameras to capture images of the vines. Then, processing and machine learning algorithms analyze the photos to count the visible fruit, geo-reference them, measure the plant's vigor, and assess the leafiness and distribution of the crop in height.
The collected data is turned into detailed maps that show the productive load for each plot, identify areas with higher or lower growth, and enable harvest forecast predictions.
This tool is especially useful during two key stages. During pruning, it helps evaluate each plant's potential and adjust its load to produce more uniform, larger, and higher-quality fruit. In the pre-harvest phase, it provides weeks of foresight in estimating the total volume of seedless grapes, supporting commercial planning, logistics, and labor management.
"The information it provides us is crucial because it helps us make the right decisions," said Jerónimo García Monreal, product manager at Moyca.
Source: elnuevodigitalmurcia.es