Context

The aim of the project is to use technology to assess the condition of the crop as a whole, considering the vineyard to be a set of plots. Current agricultural plots will be used as the management and study units. Therefore, the tool developed may be very useful for associations that bring together a large number of producers, such as cooperatives, ADV, DO, etc.
To this end, the project is based on determining the usefulness of high-resolution remote sensing using satellite image time series and one-off drone images to determine the vigour of the plants and correlate it to a number of variables to predict the quantity of harvest and its classification in terms of quality. Thus, in addition to capturing data from aerial systems in order to calculate the vegetation index, during the project intense fieldwork was conducted to measure grape yield and quality parameters from the end of veraison (100%) to harvest. The relation between these parameters will enable allows algorithms to be produced that can be used to make predictions on harvest yield and optimal harvest dates in accordance with the grape ripening speed, assuming that one of the variables that affect ripening is the state of vegetation cover (robustness, density, health, etc.). It should also be stated that grapes in the area of El Penedès are cultivated in dry land conditions, which makes the monitoring and forecasting of the grape growth and ripening parameters more complicated.